Publications

Leblanc, O., Chu, C. S., Jacques, L., & Wiaux, Y. (2025). MROP: modulated rank-one projections for compressive radio interferometric imaging. Monthly Notices of the Royal Astronomical Society, 543(2), 1727-1747. https://doi.org/10.1093/mnras/staf1510 (Original work published 2025)

Rocher, L., Hendrickx, J., & Montjoye, Y.-A. d. (2025). A scaling law to model the effectiveness of identification techniques. Nature Communications, 16(1). https://doi.org/10.1038/s41467-024-55296-6 (Original work published 2025)

Zamani, M., & Glineur, F. (2025). Exact convergence rate of the last iterate in subgradient methods. SIAM Journal on Optimization, 35(3), 2182-2201. https://doi.org/10.1137/24M1717762 (Original work published 2025)

Opsomer, L., Vandergooten, S., Tagliabue, M., Thonnard, J.-L., Lefèvre, P., & McIntyre, J. (2025). A Singular Theory of Sensorimotor Coordination: On Targeted Motions in Space. The Journal of Neuroscience, 45(8), 1-11. (Original work published 2025)

Van Scoy, B., & Bianchin, G. (2025). Feedback Optimization of Dynamical Systems in Time-Varying Environments: An Internal Model Principle Approach. IEEE Transactions on Cognitive and Developmental Systems. Submitted. https://doi.org/10.48550/arXiv.2508.03503 (Original work published 2025)

Mattenet, S., Van der Linden, T., & Jungers, R. (2025). The cohomology objects of a semi-abelian variety are small. Theory and Applications of Categories, 44(22), 643-663. https://doi.org/10.48550/arXiv.2411.17200 (Original work published 2025)

Doré, S., Coutinho, J., Khan, A. Z., Lefèvre, P., & Blohm, G. (2025). Latency and amplitude of catch-up saccades to accelerating targets. Journal of Neurophysiology, 133(1), 3-13. https://doi.org/10.1152/jn.00123.2024 (Original work published 2025)

Pinheiro, M. E., & Nunes Grapiglia, G. (2025). Universal nonmonotone line search method for nonconvex multiobjective optimization problems with convex constraints. Computational and Applied Mathematics, 44. https://doi.org/10.1007/s40314-024-03018-5 (Original work published 2025)

Mataigne, S., Zimmermann, R., & Miolane, N. (2025). An Efficient Algorithm for the Riemannian Logarithm on the Stiefel Manifold for a Family of Riemannian Metrics. SIAM Journal on Matrix Analysis and Applications, 46(2), 879-905. https://doi.org/10.1137/24M1647801 (Original work published 2025)

Vandergooten, S., Opsomer, L., Thonnard, J.-L., McIntyre Joseph, & Lefèvre, P. (2025). Upright posture: a singular condition stabilizing sensorimotor coordination. eNeuro. Accepted/in-press. (Original work published 2025)

Chen, Q., Van Brandt, L., Kilchytska, V., Bestelink, E., Sporea, R. A., & Flandre, D. (2025). Low-frequency noise in polysilicon Source-Gated Thin-Film transistors. Solid-State Electronics, 109099. https://doi.org/10.1016/j.sse.2025.109099 (Original work published 2025)

Fanuel, M., Aspeel, A., Schaub, M. T., & Delvenne, J.-C. (2025). Ellipsoidal Embeddings of Graphs. SIAM Journal on Applied Mathematics, 85(2), 413-432. https://doi.org/10.1137/24m1648363 (Original work published 2025)

Mehrnoosh, A., Speciale, G., Brumali, R., Notarstefano, G., & Bianchin, G. (2025). ARGFree: A Randomized Gradient-Free algorithm for Aggregative Cooperative Optimization and Applications to Robotic Formation (Extended Version). IEEE Transactions on Control of Network Systems. Submitted. https://hdl.handle.net/2078.5/266842 (Original work published 2025)

Davar, D., & Nunes Grapiglia, G. (2025). TRFD: A Derivative-Free Trust-Region Method Based on Finite Differences for Composite Nonsmooth Optimization. SIAM Journal on Optimization, 35(3), 1792-1821. https://doi.org/10.1137/24m1701587 (Original work published 2025)

Xu, G.-H., Kolchinsky, A., Delvenne, J.-C., & Ito, S. (2025). Thermodynamic Geometric Constraint on the Spectrum of Markov Rate Matrices. Physical Review Letters, 135(25). https://doi.org/10.1103/z4t2-18cx (Original work published 2025)

Bianchin, G., & Van Scoy, B. (2025). The Internal Model Principle of Time-Varying Optimization. IEEE Transactions on Automatic Control. Accepted/in-press. https://doi.org/10.48550/arXiv.2407.08037 (Original work published 2025)

Absil, P.-A., & Mataigne, S. (2025). The Ultimate Upper Bound on the Injectivity Radius of the Stiefel Manifold. SIAM Journal on Matrix Analysis and Applications, 46(2), 1145-1167. https://doi.org/10.1137/24m1644808 (Original work published 2025)

Doikov, N., & Nunes Grapiglia, G. (2025). First and Zeroth-Order Implementations of the Regularized Newton Method with Lazy Approximated Hessians. Journal of Scientific Computing, 103(1). https://doi.org/10.1007/s10915-025-02842-z (Original work published 2025)

Mehrnoosh, A., & Bianchin, G. (2025). Two-point Random Gradient-free Methods for Model-free Feedback Optimization. IFAC World Congress. Submitted. https://hdl.handle.net/2078.5/266869 (Original work published 2025)

Van Brandt, L., Bonnin, M., Banaszeski da Sila, M., Bolcato, P., Wirth, G. I., & Flandre, D. (2025). Modeling and Predicting Noise-Induced Failure Rates in Ultra-Low-Voltage SRAM Bitcells Affected by Process Variations. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 72(34), 989-1002. https://doi.org/10.1109/TCSI.2024.3525387 (Original work published 2025)

Queguiner, A., & Tignol, J.-P. (2025). Witt groups of Severi-Brauer varieties and of function fields of conics. Epijournal de géométrie algébrique, 9(4), 1-27. https://doi.org/10.46298/epiga.2024.11171 (Original work published 2025)

Delvenne, J.-C., & Van Brandt, L. (2025). Moments of Entropy Production in Dissipative Devices. Physical Review Letters, 134(23). https://doi.org/10.1103/jqsx-ycjv (Original work published 2025)

Banse, A., Romao, L., abate, A., & Jungers, R. (2025). Data-driven memory-dependent abstractions of dynamical systems via a Cantor-Kantorovich metric. IEEE Transactions on Automatic Control, 70(12), 8092-8103. https://doi.org/10.48550/arXiv.2405.08353 (Original work published 2025)

Vandamme, C., Otlet, V., Ronsse, R., & Crevecoeur, F. (2025). Measured and modelled transitions between self-paced walking and synchronization with rhythmic auditory cues. Journal of Neurophysiology. Accepted/in-press. https://doi.org/10.1152/jn.00134.2025 (Original work published 2025)

Doyen, A., Lefèvre, P., & Crevecoeur, F. (2025). Interference between flexible and adaptive reaching control. eNeuro. Accepted/in-press. https://doi.org/10.1523/ENEURO.0237-25.2025 (Original work published 2025)

Berger, G., & Jungers, R. (2025). PAC learnability of scenario decision-making algorithms: necessary conditions and sufficient conditions. IEEE Control Systems Letters, 9, 186-191. https://doi.org/10.1109/LCSYS.2025.3568760 (Original work published 2025)

Nabou, Y., Glineur, F., & Necoara, I. (2025). Proximal gradient methods with inexact oracle of degree q for composite optimization. Optimization Letters, 19(2), 285-306. https://doi.org/10.1007/s11590-024-02118-9 (Original work published 2025)

Mataigne, S., Absil, P.-A., & Miolane, N. (2025). Bounds on the geodesic distances on the Stiefel manifold for a family of Riemannian metrics. Linear Algebra and Its Applications, 730, 1-34. https://doi.org/10.1016/j.laa.2025.10.003 (Original work published 2026)

Pinon, B., Jungers, R., & Delvenne, J.-C. (2025). A limitation on black-box dynamics approaches to Reinforcement Learning. Transactions on Machine Learning Research. Accepted/in-press. https://hdl.handle.net/2078.5/252340 (Original work published 2025)

Feuillen, T., Vandendorpe, L., & Jacques, L. (2025). A Novel Multiplicative Phase Dithering Scheme for 1-bit Compressive Radar. IEEE Journal on Selected Topics in Signal Processing, 1-15. https://doi.org/10.1109/JSTSP.2025.3606387 (Original work published 2025)

Anand, M., Jungers, R., Zamani, M., & Allgöwer, F. (2025). On the Completeness and Ordering of Path-Complete Barrier Functions. arXiv. Submitted. https://doi.org/10.48550/arXiv.2503.19561 (Original work published 2025)

Coutinho, J. D., Huang, J., Lefèvre, P., Blohm, G., & Munoz, D. P. (2025). Main Sequence of Human Luminance-evoked Pupil Dynamics. Journal of Cognitive Neuroscience, 37(4), 840-852. https://doi.org/10.1162/jocn_a_02296 (Original work published 2025)

Doumont, D., Kao, Anika R., Lambert, J., Wielant, F., Gerling, Gregory J., Delhaye, B., & Lefèvre, P. (2025). 3-D Reconstruction of Fingertip Deformation During Contact Initiation. Multisensory Research, 1-26. https://doi.org/10.1163/22134808-bja10168 (Original work published 2025)

Bonnin, M., Bonani, F., Delvenne, J.-C., Van Brandt, L., & Traversa, F. (2025). Thermodynamically Consistent Noise Modeling in Non-Linear Circuits. Fluctuation and Noise Letters, 135. https://doi.org/10.1142/s021947752540019x (Original work published 2025)

Farid, Y., & Jungers, R. (2025). Binary Combinatorial Optimization-based Path Planning and Optimal Reach Control in Piecewise Linear Neural Abstraction Domain. Neurocomputing, 669. https://doi.org/10.1016/j.neucom.2025.132504 (Original work published 2026)

Si, W., Absil, P.-A., Huang, W., Jiang, R., & Vary, S. (2024). A Riemannian Proximal Newton Method. SIAM Journal on Optimization, 34(1), 654-681. https://doi.org/10.1137/23m1565097 (Original work published 2023)

de Walque, J.-M., de Terwangne, C., Jungers, R., Pierard, S., Beauloye, C., Laarbaui, F., Dechamps, M., & Jacquet, L.-M. (2024). Potential for recovery after extremely prolonged VV-ECMO support in well-selected severe COVID-19 patients: a retrospective cohort study. BMC pulmonary medicine, 24(1), 19 [1-9]. https://doi.org/10.1186/s12890-023-02836-3 (Original work published 2024)

Singh, S., & Jungers, R. (2024). Using Symbolic Dynamics to Compare Path-Complete Lyapunov Functions. I E E E Conference on Decision and Control. Proceedings, 5598-5603. https://hdl.handle.net/2078.5/252407 (Original work published 2024)

Banse, A., Renganathan, V., & Jungers, R. (2024). A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2407.08324 (Original work published 2024)

Colmant, L., Boyer, E., Gerard, T., Sleegers, K., Lhommel, R., Ivanoiu, A., Lefèvre, P., Kienlen-Campard, P., & Hanseeuw, B. (2024). Definition of a Threshold for the Plasma Aβ42/Aβ40 Ratio Measured by Single-Molecule Array to Predict the Amyloid Status of Individuals without Dementia. International journal of molecular sciences, 25(2), 1173 [1-17]. https://doi.org/10.3390/ijms25021173 (Original work published 2024)

Blondiaux Pirson, F., Colmant, L., Lebrun, L., Hanseeuw, B., & Crevecoeur, F. (2024). Erroneous Compensation for Long-Latency Feedback Delays as Origin of Essential Tremor. The Journal of Neuroscience, 44(25), e0069242024 [1-10]. https://doi.org/10.1523/JNEUROSCI.0069-24.2024 (Original work published 2024)

Calbert, J., Neves Egidio, L., & Jungers, R. (2024). Smart Abstraction Based on Iterative Cover and Non-Uniform Cells. IEEE Control Systems Letters, 8, 2301-2306. https://doi.org/10.1109/lcsys.2024.3409106 (Original work published 2024)

Bianchin, G., Vaquero, M., Cortés, J., & Dall’Anese, E. (2024). k-Dimensional Agreement in Multiagent Systems. IEEE Transactions on Automatic Control, 69(12), 8978-8985. https://doi.org/10.1109/tac.2024.3431108 (Original work published 2024)

Mei, W., Hendrickx, J., Chen, G., Bullo, F., & Dörfler, F. (2024). Convergence, Consensus, and Dissensus in the Weighted-Median Opinion Dynamics. IEEE Transactions on Automatic Control, 69(10), 6700-6714. https://doi.org/10.1109/tac.2024.3376752 (Original work published 2024)

Duprez, G., Delhaye, B., & Delannay, L. (2024). Collagen Induces Anisotropy in Fingertip Subcutaneous Tissues During Contact. IEEE Transactions on Haptics, 17(4), 753-760. https://doi.org/10.1109/toh.2024.3406251 (Original work published 2024)

Wang, J., Surace, J., Frérot, I., Legat, B., Renou, M.-O., Magron, V., & Acín, A. (2024). Certifying Ground-State Properties of Quantum Many-Body Systems. Physical Review X, 14(3), 31006. https://doi.org/10.1103/PhysRevX.14.031006 (Original work published 2024)

Calbert, J., Girard, A., & Jungers, R. (2024). Classification of simulation relations for symbolic control. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2410.06083 (Original work published 2024)

Joshua Taylor, Alain Rapaport, & Dochain, D. (2024). Convex representation of metabolic networks with Michaelis-Menten kinetics. Bulletin of Mathematical Biology, 86(65). https://hdl.handle.net/2078.5/218073 (Original work published 2024)

Cummaudo, M., Obertova, Z., Lynnerup, N., Petaros, A., de Boer, H., Baccino, E., Steyn, M., Cunha, E., Ross, A., Adalian, P., Kranioti, E., Fracasso, T., Ferreira, M. T., Lefèvre, P., Tambuzzi, S., Peckitt, R., Campobasso, C. P., Ekizoglu, O., De Angelis, D., & Cattaneo, C. (2024). Age assessment in unaccompanied minors: assessing uniformity of protocols across Europe. International journal of legal medicine, 138(3), 983-995. https://doi.org/10.1007/s00414-024-03157-8 (Original work published 2024)

Nunes Grapiglia, G. (2024). Worst-case evaluation complexity of a derivative-free quadratic regularization method. Optimization Letters, 18(1), 195-213. https://doi.org/10.1007/s11590-023-01984-z (Original work published 2024)

Bendokat, T., Zimmermann, R., & Absil, P.-A. (2024). A Grassmann manifold handbook: basic geometry and computational aspects. Advances in Computational Mathematics, 50(1). https://doi.org/10.1007/s10444-023-10090-8 (Original work published 2024)

Absil, P.-A., Cojuhari, I., Fiodorov, I., & Tits, A. L. (2024). Strong versions of impulsive controllability and sampled observability. Automatica, 169, 111865. https://doi.org/10.1016/j.automatica.2024.111865 (Original work published 2024)

Ablin, P., Vary, S., Gao, B., & Absil, P.-A. (2024). Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints. Journal of Machine Learning Research, 25(389), 1-38. https://doi.org/10.48550/arXiv.2303.16510 (Original work published 2023)

Dopico, F. M., Marcaida, S., Quintana, M. C., & Van Dooren, P. (2024). Linearizations of matrix polynomials viewed as Rosenbrock’s system matrices. Linear Algebra and Its Applications, 693, 116-139. https://doi.org/10.1016/j.laa.2023.05.010 (Original work published 2024)

Samari, B., Rossa, M. D., Lavaei, A., Soudjani, S., & Jungers, R. (2024). Multiplicative Barrier Certificates for Probabilistic Safety of Markov Jump Systems. IFAC-PapersOnLine, 58(11), 63-68. https://doi.org/10.1016/j.ifacol.2024.07.426 (Original work published 2024)

Delhaye, B., Schiltz, F., Crevecoeur, F., Thonnard, J.-L., & Lefèvre, P. (2024). Fast grip force adaptation to friction relies on localized fingerpad strains. Science advances, 10(3), 1-11. https://doi.org/10.1126/sciadv.adh9344 (Original work published 2024)

Hoffmann, A., & Crevecoeur, F. (2024). Dissociable Effects of Urgency and Evidence Accumulation during Reaching Revealed by Dynamic Multisensory Integration. eNeuro, 11(12), ENEURO. https://doi.org/10.1523/eneuro.0262-24.2024 (Original work published 2024)

Kalidindi, H. T., & Crevecoeur, F. (2024). Task-dependent coarticulation of movement sequences. eLife, 13. https://doi.org/10.7554/elife.96854.3 (Original work published 2024)

Monnoyer de Galland de Carnières, C., Vizuete Haro, R. S., Hendrickx, J., Panteley, E., & Frasca, P. (2024). Random Coordinate Descent for Resource Allocation in Open Multiagent Systems. IEEE Transactions on Automatic Control, 69(11), 7600-7613. https://doi.org/10.1109/tac.2024.3394349 (Original work published 2024)

Corniani, G., Lee, Z. S., Carré, M. J., Lewis, R., Delhaye, B., & Saal, H. (2024). Sub-surface deformation of individual fingerprint ridges during tactile interactions. eLife. Published. https://doi.org/10.7554/eLife.93554.1 (Original work published 2024)

Goujaud, B., Moucer, C., Glineur, F., Hendrickx, J., Taylor, A. B., & Dieuleveut, A. (2024). PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. Mathematical Programming Computation, 16(3), 337-367. https://doi.org/10.1007/s12532-024-00259-7 (Original work published 2024)

Becher, K.-J., Grenier-Boley, N., & Tignol, J.-P. (2024). The discriminant Pfister form of an algebra with involution of capacity four. Israel Journal of Mathematics, 264(1), 235-280. https://doi.org/10.1007/s11856-024-2647-4 (Original work published 2024)

Calbert, J., Banse, A., legat benoit, & Jungers, R. (2024). Dionysos.jl: a Modular Platform for Smart Symbolic Control. JuliaCon Proceedings, 6(66), 160. https://doi.org/10.21105/jcon.00160 (Original work published 2024)

Berger, G., & Sankaranarayanan, S. (2024). Template-based piecewise affine regression. Research Directions: Cyber-Physical Systems, 2(5), 1-13. https://doi.org/10.1017/cbp.2024.3 (Original work published 2024)

Zamani, M., Glineur, F., & Hendrickx, J. (2024). On the Set of Possible Minimizers of a Sum of Convex Functions. IEEE Control Systems Letters, 8, 1871-1876. https://doi.org/10.1109/lcsys.2024.3414378 (Original work published 2024)

Calbert, J., & et al. (2024). Smart abstraction based on iterative cover and non-uniform cells. IEEE Control Systems Letters. Accepted/in-press. https://doi.org/10.1109/LCSYS.2024.3409106 (Original work published 2024)

Córdova Bulens, D., du Bois de Dunilac, S., Delhaye, B., Lefèvre, P., & Redmond, S. J. (2024). Open-source instrumented object to study dexterous object manipulation. eNeuro, 11(1), ENEURO. https://doi.org/10.1101/2023.10.20.563288 (Original work published 2024)

Bianchin, G., & Pasqualetti, F. (2024). Navigation Systems May Deteriorate Stability in Traffic Networks. IEEE Open Journal of Control Systems, 3, 239-252. https://doi.org/10.1109/ojcsys.2024.3397270 (Original work published 2024)

Bianchin, G., Vaquero, M., Cortés, J., & Dall’Anese, E. (2024). Online Stochastic Optimization for Unknown Linear Systems: Data-Driven Controller Synthesis and Analysis. IEEE Transactions on Automatic Control, 69(7), 4411-4426. https://doi.org/10.1109/tac.2023.3323581 (Original work published 2024)

Berkhout, J., Heidergott, B., & Van Dooren, P. (2024). Perturbation and Inverse Problems of Stochastic Matrices. SIAM Journal on Matrix Analysis and Applications, 45(1), 553-584. https://doi.org/10.1137/22m1489162 (Original work published 2024)

Tignol, J.-P. (2024). Invariants de Witt des involutions de bas degré en caractéristique 2. Comptes Rendus Mathématiques / Académie des Sciences, 362(1), 1261-1271. https://doi.org/10.5802/crmath.640 (Original work published 2024)

Van Dessel, G., & Glineur, F. (2024). Optimal inexactness schedules for tunable oracle-based methods. Optimization Methods and Software, 39(3), 664-698. https://doi.org/10.1080/10556788.2023.2296982 (Original work published 2024)

Leblanc, O., Hofer, M., Sivankutty, S., Rigneault, H., & Jacques, L. (2024). Interferometric Lensless Imaging: Rank-One Projections of Image Frequencies With Speckle Illuminations. IEEE Transactions on Computational Imaging, 10, 208-222. https://doi.org/10.1109/tci.2024.3359178 (Original work published 2024)

Benner, P., Goyal, P., & Van Dooren, P. (2024). Parameterized Interpolation of Passive Systems. SIAM Journal on Matrix Analysis and Applications, 45(2), 1035-1053. https://doi.org/10.1137/23m1580528 (Original work published 2024)

Bousselmi, N., Hendrickx, J., & Glineur, F. (2024). Interpolation Conditions for Linear Operators and Applications to Performance Estimation Problems. SIAM Journal on Optimization, 34(3), 3033-3063. https://doi.org/10.1137/23m1575391 (Original work published 2024)

Brudermüller, L., Berger, G., Jankowski, J., Bhattacharyya, R., Jungers, R., & Hawes, N. (2024). CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2402.01370 (Original work published 2024)

Wang, Z., Berger, G., & Jungers, R. (2024). Data-driven control of unknown switched linear systems using scenario optimization. IEEE Transactions on Automatic Control, 69(11), 7310-7325. https://doi.org/10.1109/TAC.2024.3382610 (Original work published 2024)

Daglayan Sevim, H., Vary, S., Absil, O., Cantalloube, F., Christiaens, V., Gillis, N., Jacques, L., Leplat, V., & Absil, P.-A. (2024). An alternating minimization algorithm with trajectory for direct exoplanet detection : The AMAT algorithm. Astronomy & Astrophysics, 692, A126. https://doi.org/10.1051/0004-6361/202451242 (Original work published 2024)

AliAbbasi, E., Muzammil, M., Sirin, O., Lefèvre, P., Martinsen, Ø. G., & Basdogan, C. (2024). Effect of Finger Moisture on Tactile Perception of Electroadhesion. IEEE Transactions on Haptics, 17(4), 841-849. https://doi.org/10.1109/toh.2024.3441670 (Original work published 2024)

Vuille, A., Berger, G., & Jungers, R. (2024). Data-driven stability analysis of switched linear systems using adaptive sampling. IFAC-PapersOnLine, 58(11), 31-36. https://doi.org/10.1016/j.ifacol.2024.07.421 (Original work published 2024)

Van Brandt, L., & Delvenne, J.-C. (2024). Predicting State Transitions in Autonomous Nonlinear Bistable Systems With Hidden Stochasticity. IEEE Control Systems Letters, 8, 850-855. https://doi.org/10.1109/lcsys.2024.3401586 (Original work published 2024)

Delvenne, J.-C., & Falasco, G. (2024). Thermokinetic relations. Physical Review E, 109(1). https://doi.org/10.1103/physreve.109.014109 (Original work published 2024)

Ren, W., Jungers, R., & Dimarogonas, D. V. (2024). Zonotope-based Symbolic Controller Synthesis for Linear Temporal Logic Specifications. IEEE Transactions on Automatic Control, 1-16. https://doi.org/10.1109/tac.2024.3394313 (Original work published 2024)

Della Rossa, M., Egidio, L. N., & Jungers, R. (2023). Stability of Switched Affine Systems: Arbitrary and Dwell-Time Switching. SIAM Journal on Control and Optimization, 61(4), 2165-2192. https://doi.org/10.1137/22m1482226 (Original work published 2023)

Pinto, S. c., Welikala, S., Andersson, S. B., Hendrickx, J., & Cassandras, C. G. (2023). Minimax Persistent Monitoring of a Network System. Automatica, 149, 110808. https://doi.org/10.48550/arXiv.2201.06607 (Original work published 2022)

Colla, S., & Hendrickx, J. (2023). Automatic Performance Estimation for Decentralized Optimization. IEEE Transactions on Automatic Control. Accepted/in-press. https://hdl.handle.net/2078.5/254829 (Original work published 2023)

Perotti, E., Ospina, A. M., Bianchin, G., Simonetto, A., & Dall’Anese, E. (2023). Renewable-based charging in green ride-sharing. Scientific Reports, 13(1), 13. https://doi.org/10.1038/s41598-023-42042-z (Original work published 2023)

Nesterov, Y. (2023). Inexact accelerated high-order proximal-point methods. Mathematical Programming, 197(1), 1-26. https://doi.org/10.1007/s10107-021-01727-x (Original work published 2023)

Doikov, N., & Nesterov, Y. (2023). Affine-invariant contracting-point methods for Convex Optimization. Mathematical Programming, 198(1), 115-137. https://doi.org/10.1007/s10107-021-01761-9 (Original work published 2023)

Hautecoeur, C., De Lathauwer, L., Gillis, N., & Glineur, F. (2023). Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. IEEE Transactions on Signal Processing, 71, 1712-1724. https://doi.org/10.1109/tsp.2023.3260560 (Original work published 2023)

Noferini, V., & Van Dooren, P. (2023). On computing root polynomials and minimal bases of matrix pencils. Linear Algebra and Its Applications, 658, 86-115. https://doi.org/10.1016/j.laa.2022.10.025 (Original work published 2023)

Ewan Philippe, Robert David, Dochain, D., & Jean-Roch Mouret. (2023). Introducing Organoleptic Components into Wine Fermentation Modelling : Preliminary Results. IFAC-PapersOnLine, 56(2), 6206-6210. https://doi.org/10.1016/j.ifacol.2023.10.740 (Original work published 2023)

Anton Pyrkin, Alexey Bobstov, Romeo Ortega, Jose Guadalupe Romero, & Dochain, D. (2023). A Globally Convergent Estimator of the Parameters of the Classical Model of a Continuous Stirred Tank Reactor. Journal of Process Control, 132, 103129. https://hdl.handle.net/2078.5/218077 (Original work published 2023)

Leplat, V., Nesterov, Y., Gillis, N., & Glineur, F. (2023). Conic optimization-based algorithms for nonnegative matrix factorization. Optimization Methods and Software, 38(4), 837-859. https://doi.org/10.1080/10556788.2023.2189714 (Original work published 2023)

Doikov, N., & Nesterov, Y. (2023). Gradient regularization of Newton method with Bregman distances. Mathematical Programming. Accepted/in-press. https://doi.org/10.1007/s10107-023-01943-7 (Original work published 2023)

Xiaoyu Zhang, Zhou Fang, Chuanhou Gao, & Dochain, D. (2023). On the relation between omega-limit set and boundaries of mass-action chemical reaction networks. Automatica (Online), 149(110828), 1-8. https://hdl.handle.net/2078.5/102118 (Original work published 2023)

Olikier, G., & Absil, P.-A. (2023). An Apocalypse-Free First-Order Low-Rank Optimization Algorithm with at Most One Rank Reduction Attempt per Iteration. SIAM Journal on Matrix Analysis and Applications, 44(3), 1421-1435. https://doi.org/10.1137/22m1518256 (Original work published 2023)

Nunes Grapiglia, G. (2023). Worst-case evaluation complexity of a quadratic penalty method for nonconvex optimization. Optimization Methods and Software, 38(4), 781-803. https://doi.org/10.1080/10556788.2023.2189711 (Original work published 2023)

Nunes Grapiglia, G., & Stella, G. F. D. (2023). An Adaptive Riemannian Gradient Method Without Function Evaluations. Journal of Optimization Theory and Applications, 197(3), 1140-1160. https://doi.org/10.1007/s10957-023-02227-y (Original work published 2023)

Nunes Grapiglia, G., Nunes Grapiglia, G., Santos, E. M., & Souza, J. C. (2023). A subgradient method with non-monotone line search. Computational Optimization and Applications : an international journal, 84, 397-420. https://doi.org/10.1007/s10589-022-00438-z (Original work published 2023)

Hendrickx, J., & Gerencsér, B. (2023). Trajectory convergence from coordinate-wise decrease of general energy functions. Automatica, 154, 111099. https://doi.org/10.1016/j.automatica.2023.111099 (Original work published 2023)

Ceulemans, A.-E., Glineur, F., Fisette, P., Beghin, P., & Thys, I. (2023). Baroque Violas with Reduced Soundboxes: An Evaluation Method. The Galpin Society Journal : for the study of musical instruments, LXXVI, 109-126. (Original work published 2023)

Van Brandt, L., & Delvenne, J.-C. (2023). Noise–dissipation relation for nonlinear electronic circuits. Applied Physics Letters, 122(26). https://doi.org/10.1063/5.0152883 (Original work published 2023)

Vlahakis, E., Jungers, R., Athanasopoulos, N., & McLoone, S. (2023). AIMD-inspired switching control of computing networks. IEEE Transactions on Control of Network Systems, 1-12. https://doi.org/10.1109/tcns.2023.3298202 (Original work published 2023)

Nayak, S. P., Neves Egidio, L., Della Rossa, M., Schmuck, A.-K., & Jungers, R. (2023). Context-Triggered Abstraction-Based Control Design. IEEE Open Journal of Control Systems, 2, 277-296. https://doi.org/10.1109/ojcsys.2023.3305835 (Original work published 2023)

De Comite, A., Lefèvre, P., & Crevecoeur, F. (2023). Continuous evaluation of cost-to-go for flexible reaching control and online decisions. PLoS Computational Biology, 19(9), e1011493. https://doi.org/10.1371/journal.pcbi.1011493 (Original work published 2023)

Arnaud Coutu, Dochain, D., Stéphane Mottelet, L. André, M. Mercier-Huat, André Pauss, & Thierry Ribeiro. (2023). Dynamical model development and parameter identification for solid-state anaerobic digestion of shellfish products: Application to Mytilus edulis. Bioresource Technology, 101458. https://hdl.handle.net/2078.5/218092 (Original work published 2023)

Mattenet, S., & Jungers, R. (2023). A categorical view on the converse Lyapunov theorem. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2306.00509 (Original work published 2023)

Blondiaux Pirson, F., Lebrun, L., Hanseeuw, B., & Crevecoeur, F. (2023). Impairments of saccadic and reaching adaptation in Essential Tremor are linked to movement execution. Journal of Neurophysiology, 130(5), 1092-1102. https://doi.org/10.1152/jn.00165.2023 (Original work published 2023)

Córdova Bulens, D., Cluff, T., Blondeau, L., Moore, R. T., Lefèvre, P., & Crevecoeur, F. (2023). Different Control Strategies Drive Interlimb Differences in Performance and Adaptation during Reaching Movements in Novel Dynamics. eNeuro, 10(4), ENEURO. https://doi.org/10.1523/eneuro.0275-22.2023 (Original work published 2023)

Kirkove, M., Zhao, Y., Leblanc, O., Jacques, L., & Georges, M. (2023). ADMM-inspired image reconstruction for terahertz off-axis digital holography. Journal of the Optical Society of America A, 41(3), A1. https://doi.org/10.1364/josaa.504126 (Original work published 2023)

Della Rossa, M., Alves Lima, T., Jungers, M., & Jungers, R. (2023). Graph-Based Conditions for Feedback Stabilization of Switched and LPV Systems. arXiv. Submitted. https://doi.org/10.48550/arXiv.2306.11548 (Original work published 2023)

Avram, F., Adenane, R., Basnarkov, L., Bianchin, G., Goreac, D., & Halanay, A. (2023). An Age of Infection Kernel, an R Formula, and Further Results for Arino–Brauer A, B Matrix Epidemic Models with Varying Populations, Waning Immunity, and Disease and Vaccination Fatalities. Mathematics, 11(6), 1307. https://doi.org/10.3390/math11061307 (Original work published 2023)

Rodomanov, A., & Nesterov, Y. (2023). Subgradient ellipsoid method for nonsmooth convex problems. Mathematical Programming, 199, 305-341. https://doi.org/10.1007/s10107-022-01833-4 (Original work published 2023)

Otlet, V., Vandamme, C., Warlop, T., Crevecoeur, F., & Ronsse, R. (2023). Effects of overground gait training assisted by a wearable exoskeleton in patients with Parkinson’s disease. Journal of NeuroEngineering and Rehabilitation, 20, 156. https://doi.org/10.1186/s12984-023-01280-y (Original work published 2023)

Banse, A., Wang, Z., & Jungers, R. (2023). Learning stability guarantees for constrained switching linear systems from noisy observations. Nonlinear Analysis: Hybrid Systems. Submitted. https://hdl.handle.net/2078.5/252052 (Original work published 2023)

Colmant, L., Bierbrauer, A., Bellaali, Y., Kunz, L., Van Dongen, J., Sleegers, K., Axmacher, N., Lefèvre, P., Hanseeuw, B., & et al. (2023). Dissociating effects of aging and genetic risk of sporadic Alzheimer’s disease on path integration. Neurobiology of Aging, 131, 170-181. https://doi.org/10.1016/j.neurobiolaging.2023.07.025 (Original work published 2023)

Legat, B., Yuan, C., & Parrilo, P. (2023). Low-Rank Univariate Sum of Squares Has No Spurious Local Minima. SIAM Journal on Optimization, 23(3), 2041-2061. https://doi.org/10.1137/22M1516208 (Original work published 2023)

Banaï, M., Ducarme, D., Oestges, C., Ramseier, A., Raucent, B., & Wertz, V. (2023). L’évaluation comme dispositif collaboratif au service de l’apprentissage. Les Annales de QPES, 2(1). https://doi.org/10.14428/qpes.v2i1 (Original work published 2023)

Banse, A., Romao, L., Abate, A., & Jungers, R. (2023). Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version]. arXiv. Submitted. https://doi.org/10.48550/arxiv.2303.17618 (Original work published 2023)

Martin Guay, & Dochain, D. (2023). Drift estimation by timescale transformation. IFAC Proceedings, 56(1), 282-287. https://hdl.handle.net/2078.5/217970 (Original work published 2023)

Besançon, M., Dias Garcia, J., Legat, B., & Sharma, A. (2023). Flexible Differentiable Optimization via Model Transformations. INFORMS Journal on Computing, 36(2), 305-704. https://doi.org/10.1287/ijoc.2022.0283 (Original work published 2023)

Kalidindi, H. T., & Crevecoeur, F. (2023). Human reaching control in dynamic environments. Current Opinion in Neurobiology, 83, 102810. https://doi.org/10.1016/j.conb.2023.102810 (Original work published 2023)

Wang, Z., Jungers, R., & Ong, C. J. (2023). Computation of invariant sets via immersion for discrete-time nonlinear systems. Automatica, 147, 110686. https://doi.org/10.1016/j.automatica.2022.110686 (Original work published 2023)

Vermeylen, C., Olikier, G., Absil, P.-A., & Van Barel, M. (2023). Rank Estimation for Third-Order Tensor Completion in the Tensor-Train Format. Proceedings of the 31st European Signal Processing Conference (EUSIPCO 2023, 965-969. https://doi.org/10.48550/arXiv.2309.15170 (Original work published 2023)

X. Zhang, Chuanhou Gao, & Dochain, D. (2023). On persistence of some WI-endotactic chemical reaction networks. IEEE Transactions on Automatic Control, 99, 1-15. https://hdl.handle.net/2078.5/218084 (Original work published 2023)

Van Brandt, L., Silveira, F., Delvenne, J.-C., & Flandre, D. (2023). On noise-induced transient bit flips in subthreshold SRAM. Solid-State Electronics, 208, 108715. https://doi.org/10.1016/j.sse.2023.108715 (Original work published 2023)

Dopico, F. M., Quintana, M. C., & Van Dooren, P. (2023). Structural backward stability in rational eigenvalue problems solved via block Kronecker linearizations. Calcolo : a quarterly on numerical analysis and theory of computation, 60(1). https://doi.org/10.1007/s10092-022-00502-4 (Original work published 2023)

Nesterov, Y. (2023). Set-Limited Functions and Polynomial-Time Interior-Point Methods. Journal of Optimization Theory and Applications. Accepted/in-press. https://doi.org/10.1007/s10957-023-02163-x (Original work published 2023)

Hamaide, V., Souris, K., Dasnoy-Sumell, D., Glineur, F., & Macq, B. (2023). Real‐time image‐guided treatment of mobile tumors in proton therapy by a library of treatment plans: a simulation study. Medical Physics, 50(1), 465-479. https://doi.org/10.1002/mp.16084 (Original work published 2023)

Hoffmann, A., & Crevecoeur, F. (2023). Task Instructions and the Need for Feedback Correction Influence the Contribution of Visual Errors to Reach Adaptation. eNeuro, 10(9), ENEURO. https://doi.org/10.1523/eneuro.0068-23.2023 (Original work published 2023)

Masure, L., Cassiers, G., Hendrickx, J., & Standaert, F.-X. (2023). Information Bounds and Convergence Rates for Side-Channel Security Evaluators. IACR Transactions on Cryptographic Hardware and Embedded Systems, 2023(3), 522-569. https://doi.org/10.46586/tches.v2023.i3.522-569 (Original work published 2023)

Tachella, J., & Jacques, L. (2023). Learning to Reconstruct Signals From Binary Measurements. Transactions on Machine Learning Research, 1400, 1-25. https://doi.org/10.48550/arXiv.2303.08691 (Original work published 2023)

Wang, Z., Jungers, R., Petreczky, M., Chen, B., & Yu, L. (2023). Learning stability of partially observed switched linear systems. https://arxiv.org. Submitted. https://doi.org/10.48550/arXiv.2301.08046 (Original work published 2023)

Barry, D., & Tignol, J.-P. (2023). Trialitarian triples. Documenta Mathematica, 28(28), 939-1026. https://doi.org/10.4171/DM/926 (Original work published 2023)

Della Rossa, M., & Jungers, R. (2023). Multiple Lyapunov Functions and Memory: A Symbolic Dynamics Approach to Systems and Control. arXiv. Submitted. https://doi.org/10.48550/arXiv.2307.13543 (Original work published 2023)

Della Rossa, M., & Jungers, R. (2023). Interpretability of Path-Complete Techniques and Memory-based Lyapunov functions. IEEE Control Systems Letters, 7, 781-786. https://doi.org/10.1109/LCSYS.2022.3226627 (Original work published 2023)

Vandamme, C., Otlet, V., Ronsse, R., & Crevecoeur, F. (2023). Model of Gait Control in Parkinson’s Disease and Prediction of Robotic Assistance. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31(1), 1374-1383. https://doi.org/10.1109/tnsre.2023.3245286 (Original work published 2023)

Wang, Z., & Jungers, R. (2023). On Objective Function Value Performance of the Scenario Approach Under Regularity Conditions. IEEE Transactions on Automatic Control, 1-15. https://doi.org/10.1109/tac.2023.3315691 (Original work published 2023)

Hastir, A., Winkin, J., & Dochain, D. (2023). Adaptive output error feedback for a class of nonlinear infinite-dimensional systems. Automatica, 152, 110964. https://hdl.handle.net/2078.5/217963 (Original work published 2021)

Houssiau, F., Liénart, T., Hendrickx, J., & de Montjoye, Y.-A. (2023). Web Privacy: A Formal Adversarial Model for Query Obfuscation. IEEE Transactions on Information Forensics and Security, 18, 2132-2143. https://doi.org/10.1109/tifs.2023.3262123 (Original work published 2023)

Mélard, N., Grard, A., Delvenne, J.-C., Mercken, L., Perelman, J., Kunst, A. E., & Lorant, V. (2023). The Diffusion of Smoking: Association Between School Tobacco Policies and the Diffusion of Adolescent Smoking in 38 Schools in 6 Countries. Prevention Science, 13p. https://doi.org/10.1007/s11121-022-01486-x (Original work published 2023)

Lubin, M., Dowson, O., Dias Garcia, J., Huchette, J., Legat, B., & Vielma, J. P. (2023). JuMP 1.0: recent improvements to a modeling language for mathematical optimization. Mathematical Programming Computation, 15, 581-589. https://doi.org/10.1007/s12532-023-00239-3 (Original work published 2023)

Beghin, P., Ceulemans, A.-E., Fisette, P., & Glineur, F. (2023). Validation of a photogrammetric approach for the objective study of early bowed instruments. Heritage Science. Published. https://doi.org/10.1186/s40494-023-00979-4 (Original work published 2023)

Berger, G., & Sankaranarayanan, S. (2023). Counterexample-guided computation of polyhedral Lyapunov functions for piecewise linear systems. Automatica, 155(111165), 1-10. https://doi.org/10.1016/j.automatica.2023.111165 (Original work published 2023)

du Bois de Dunilac, S., Córdova Bulens, D., Lefèvre, P., Redmond, S. J., & Delhaye, B. (2023). Biomechanics of the finger pad in response to torsion. Journal of the Royal Society Interface, 20(201), 20220809. https://doi.org/10.1098/rsif.2022.0809 (Original work published 2023)

Benner, P., & Van Dooren, P. (2023). Periodic two-dimensional descriptor systems. The Electronic Journal of Linear Algebra, 39, 472-490. https://doi.org/10.13001/ela.2023.7989 (Original work published 2023)

Z. Fang, Chuanhou Gao, & Dochain, D. (2023). Stochastic Weak Passivity for Weakly Stabilizing Stochastic Systems with non-vanishing noise. Systems & Control Letters, 180, 105606. https://hdl.handle.net/2078.5/218079 (Original work published 2023)

Opsomer, L., Delhaye, B., Théate, V., Thonnard, J.-L., & Lefèvre, P. (2023). A haptic illusion created by gravity. iScience, 26(7), 107246 [1-16]. https://doi.org/10.1016/j.isci.2023.107246 (Original work published 2023)

Nunes Grapiglia, G. (2023). Quadratic regularization methods with finite-difference gradient approximations. Computational Optimization and Applications : an international journal, 85, 683-703. https://doi.org/10.1007/s10589-022-00373-z (Original work published 2022)

Kasuga, S., Crevecoeur, F., Cross, K. P., Balalaie, P., & Scott, S. H. (2022). Integration of proprioceptive and visual feedback during online control of reaching. Journal of Neurophysiology, 127(2), 354-372. https://doi.org/10.1152/jn.00639.2020 (Original work published 2022)

Pinon, B., Jungers, R., & Delvenne, J.-C. (2022). PAC-learning gains of Turing machines over circuits and neural networks. Physica D: Nonlinear Phenomena. Accepted/in-press. https://hdl.handle.net/2078.5/268848 (Original work published 2022)

Gosselin, B., Retout, M., Dutour, R., Troian-Gautier, L., Bevernaegie, R., Herens, S., Lefèvre, P., Denis, O., Bruylants, G., & Jabin, I. (2022). Ultrastable Silver Nanoparticles for Rapid Serology Detection of Anti-SARS-CoV-2 Immunoglobulins G. Analytical Chemistry, 94(20), 7383-7390. https://doi.org/10.1021/acs.analchem.2c00870 (Original work published 2022)

Ngoc Ha Hoang, & Dochain, D. (2022). Lifting the non-isothermal CSTR dynamics to the complete Thermodynamic Phase Space. IFAC Proceedings, 55(18), 1-6. https://hdl.handle.net/2078.5/164174 (Original work published 2022)

Olikier, G., & Absil, P.-A. (2022). On the Continuity of the Tangent Cone to the Determinantal Variety. Set-Valued and Variational Analysis : theory and applications, 30, 769-788. https://doi.org/10.1007/s11228-022-00629-0 (Original work published 2022)

Mei, W., Bullo, F., Chen, G., Hendrickx, J., & Dörfler, F. (2022). Micro-foundation of opinion dynamics: Rich consequences of the weighted-median mechanism. Physical Review Research, 4(2). https://doi.org/10.1103/physrevresearch.4.023213 (Original work published 2022)

De Comite, A., Crevecoeur, F., & Lefèvre, P. (2022). Continuous Tracking of Task Parameters Tunes Reaching Control Online. eNeuro, 9(4), ENEURO. https://doi.org/10.1523/eneuro.0055-22.2022 (Original work published 2022)

El Khoury, G., Barbier, O., Vanderlinden, A., & Libouton, X. (2022). La rhizarthrose : que proposer au patient pour une douleur de la base du pouce ? Louvain médical, 141(6), 320-324. https://hdl.handle.net/2078.5/164537 (Original work published 2022)

Joshua Taylor, Alain Rapaort, & Denis Dochain. (2022). Convex optimization of bioprocesses. IEEE Transactions on Automatic Control, 67(9), 4932-4938. https://doi.org/10.1109/TAC.2022.3167310 (Original work published 2022)

Alain Rapaport, Robert David, Dochain, D., Jétôme Harmand, & Thibaut Nidelet. (2022). Consideration of maintenance in wine fermentation modelling. Foods, Special Issue on Dynamic Modelling and Simulation of Food Systems. Food Trades Directory and Food Buyer’s Yearbook, 11(1682), 1-18. https://hdl.handle.net/2078.5/102109 (Original work published 2022)

Fanuel, M., Aspeel, A., Delvenne, J.-C., & Suykens, J. A. K. (2022). Positive Semi-definite Embedding for Dimensionality Reduction and Out-of-Sample Extensions. SIAM Journal on Mathematics of Data Science, 4(1), 153-178. https://doi.org/10.1137/20M1370653 (Original work published 2022)

Debauche, V., Della Rossa, M., & Jungers, R. (2022). Comparison of Path-Complete Lyapunov Functions via Template-Dependent Lifts. Nonlinear Analysis: Hybrid Systems. Published. https://hdl.handle.net/2078.5/252145 (Original work published 2022)

Yafei Lu, Chuanhou Gao, & Denis Dochain. (2022). Noise-to-state exponentially stabilizing (state, input)-disturbed CSTRs with non-vanishing noise. Automatica (Online). Accepted/in-press. https://hdl.handle.net/2078.5/107896 (Original work published 2022)

Rodomanov, A., & Nesterov, Y. (2022). Rates of superlinear convergence for classical quasi-Newton methods. Mathematical Programming, 194(1-2), 159-190. https://doi.org/10.1007/s10107-021-01622-5 (Original work published 2022)

Monnoyer De Galland De Carnières, C., & Hendrickx, J. (2022). Fundamental Performance Limitations for Average Consensus in Open Multi-Agent Systems. IEEE Transactions on Automatic Control. Accepted/in-press. https://hdl.handle.net/2078.5/254713 (Original work published 2022)

Nyéki, A., Daroczy, B. Z., Kerepesi, C., Neményi, M., & Kovács, A. J. (2022). Spatial Variability of Soil Properties and Its Effect on Maize Yields within Field—A Case Study in Hungary. Agronomy, 12(2), 395. https://doi.org/10.3390/agronomy12020395 (Original work published 2022)

Bianchin, G., Dall’Anese, E., Poveda, J. I., Jacobson, D., Carlton, E. J., & Buchwald, A. G. (2022). Novel use of online optimization in a mathematical model of COVID-19 to guide the relaxation of pandemic mitigation measures. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-08389-5 (Original work published 2022)

Schellekens, V., & Jacques, L. (2022). Asymmetric Compressive Learning Guarantees With Applications to Quantized Sketches. IEEE Transactions on Signal Processing, 70(1), 1348-1360. https://doi.org/10.1109/tsp.2022.3157486 (Original work published 2022)

Németh, Á., Daroczy, B. Z., Juhász, L., Fülöp, P., Harangi, M., & Paragh, G. (2022). Assessment of Associations Between Serum Lipoprotein (a) Levels and Atherosclerotic Vascular Diseases in Hungarian Patients With Familial Hypercholesterolemia Using Data Mining and Machine Learning. Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.849197 (Original work published 2022)

Aspeel, A., Amaury Gouverneur, Jungers, R., & Macq, B. (2022). Optimal Intermittent Particle Filter. IEEE Transactions on Signal Processing, 70(1), 2814-2825. https://doi.org/10.1109/TSP.2022.3179877 (Original work published 2022)

Daroczy, B. Z. (2022). Gaussian Perturbations in ReLU Networks and the Arrangement of Activation Regions. Mathematics, 10(7), 1123. https://doi.org/10.3390/math10071123 (Original work published 2022)

Berger, G., & Wang, Z. (2022). Comments on ``Data driven stability analysis of black-box switched linear systems″. Automatica, 142(110412), 1-2. https://doi.org/10.1016/j.automatica.2022.110412 (Original work published 2022)

Martin Guay, & Denis Dochain. (2022). Comment on “A proportional-integral extremum seeking controller design technique” (Automatica 77 (2017). Automatica (Online), 135, 109944. https://hdl.handle.net/2078.5/107890 (Original work published 2022)

Altafini, C., Como, G., Hendrickx, J., Olshevsky, A., & Tahbaz-Salehi, A. (2022). Guest Editorial Special Issue on Dynamics and Behaviors in Social Networks. IEEE Transactions on Control of Network Systems, 9(3), 1053-1055. https://doi.org/10.1109/tcns.2022.3198831 (Original work published 2022)

Joshua Taylor, Alain Rapaport, & Dochain, D. (2022). A sequential convex moving horizon estimator for bioprocesses. Journal of Process Control, 116, 19-24. https://hdl.handle.net/2078.5/102111 (Original work published 2022)

Berger, G., & Jungers, R. (2022). Worst-case topological entropy and minimal data rate for state estimation of switched linear systems. Communications of the ACM, 65(2), 111-118. https://doi.org/10.1145/3505269 (Original work published 2022)

Dopico, F. M., Quintana, M. C., & Van Dooren, P. (2022). Strongly Minimal Self-Conjugate Linearizations for Polynomial and Rational Matrices. SIAM Journal on Matrix Analysis and Applications, 43(3), 1354-1381. https://doi.org/10.1137/21m1453542 (Original work published 2022)

Bovet, A., Delvenne, J.-C., & Lambiotte, R. (2022). Flow stability for dynamic community detection. Science advances, 8(19). https://doi.org/10.1126/sciadv.abj3063 (Original work published 2022)

Barbarino, G., Noferini, V., & Van Dooren, P. (2022). Role extraction for digraphs via neighborhood pattern similarity. Physical Review E, 106(5). https://doi.org/10.1103/physreve.106.054301 (Original work published 2022)

Galarza-Jimenez, F., Bianchin, G., Poveda, J. I., & Dall’Anese, E. (2022). Online optimization of LTI systems under persistent attacks: Stability, tracking, and robustness. Nonlinear Analysis: Hybrid Systems, 44, 101152. https://doi.org/10.1016/j.nahs.2022.101152 (Original work published 2022)

Laudadio, T., Mastronardi, N., & Van Dooren, P. (2022). Computing Gaussian quadrature rules with high relative accuracy. Numerical Algorithms, 92(1), 767-793. https://doi.org/10.1007/s11075-022-01297-9 (Original work published 2022)

Riehl, J., Hufstedler, E., Chatelain, P., & Hendrickx, J. (2022). String stability of energy-saving aircraft formations. Journal of Guidance, Control, and Dynamics : devoted to the technology of dynamics and control, 45(5), 935-943. https://hdl.handle.net/2078.5/106626 (Original work published 2022)

Avram, F., Adenane, R., Bianchin, G., & Halanay, A. (2022). Stability Analysis of an Eight Parameter SIR-Type Model Including Loss of Immunity, and Disease and Vaccination Fatalities. Mathematics, 10(3), 402. https://doi.org/10.3390/math10030402 (Original work published 2022)

Falasco, G., Esposito, M., & Delvenne, J.-C. (2022). Beyond thermodynamic uncertainty relations: nonlinear response, error-dissipation trade-offs, and speed limits. Journal of Physics A: Mathematical and Theoretical, 55(12), 124002. https://doi.org/10.1088/1751-8121/ac52e2 (Original work published 2022)

Lu, Y., Gao, C., & Dochain, D. (2022). Chemical Reaction Network Decomposition Technique for Stability Analysis. Automatica, 110650. https://hdl.handle.net/2078.5/217969 (Original work published 2021)

Eszter Viragh, & Dochain, D. (2022). Controllability conditions for chemical and microbiological systems. Journal of Process Control, 117, 181-187. https://hdl.handle.net/2078.5/102112 (Original work published 2022)

Gomez, M. A., Jungers, R., & Michiels, W. (2022). On the strong H2 norm of differential algebraic systems with multiple delays: finiteness criteria, regularization and computation. IEEE Transactions on Automatic Control, 67(1), 121-133. https://doi.org/10.1109/TAC.2020.3046218 (Original work published 2022)

Berger, G., Absil, P.-A., De Lathauwer, L., Jungers, R., & Van Barel, M. (2022). Equivalent polyadic decompositions of matrix multiplication tensors. Journal of Computational and Applied Mathematics, 406(113941), 1-17. https://doi.org/10.1016/j.cam.2021.113941 (Original work published 2022)

Xiaoyu Zhang, Chuanhou Gao, & Dochain, D. (2022). On Stability of Two Kinds of Delayed Chemical Reaction Networks. IFAC Proceedings, 55(18), 14-20. https://hdl.handle.net/2078.5/164173 (Original work published 2022)

Bianchin, G., Cortes, J., Poveda, J. I., & Dall’Anese, E. (2022). Time-Varying Optimization of LTI Systems Via Projected Primal-Dual Gradient Flows. IEEE Transactions on Control of Network Systems, 9(1), 474-486. https://doi.org/10.1109/tcns.2021.3112762 (Original work published 2022)

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Legat, B., & Jungers, R. (2022). Geometric control of hybrid systems. Nonlinear Analysis: Hybrid Systems, 47, 101289. https://doi.org/10.1016/j.nahs.2022.101289 (Original work published 2023)

Nunes Grapiglia, G., Gonçalves, M. L. N., & Silva, G. N. (2022). A cubic regularization of Newton’s method with finite difference Hessian approximations. Numerical Algorithms, 90(2), 607-630. https://doi.org/10.1007/s11075-021-01200-y (Original work published 2022)

Nesterov, Y., & Florea, M. (2022). Gradient methods with memory. Optimization Methods and Software, 37(3), 936-953. https://doi.org/10.1080/10556788.2020.1858831 (Original work published 2022)

de Borman, A., Vespa, S., El Tahry, R., & Absil, P.-A. (2022). Estimation of seizure onset zone from ictal scalp EEG using independent component analysis in extratemporal lobe epilepsy. Journal of Neural Engineering, 19(2), 026005 [1-14]. https://doi.org/10.1088/1741-2552/ac55ad (Original work published 2022)

Wood, K., Bianchin, G., & Dall’Anese, E. (2022). Online Projected Gradient Descent for Stochastic Optimization With Decision-Dependent Distributions. IEEE Control Systems Letters, 6, 1646-1651. https://doi.org/10.1109/lcsys.2021.3124187 (Original work published 2022)

Dopico, F. M., Quintana, M. C., & Van Dooren, P. (2022). Diagonal Scalings for the Eigenstructure of Arbitrary Pencils. SIAM Journal on Matrix Analysis and Applications, 43(3), 1213-1237. https://doi.org/10.1137/20m1364011 (Original work published 2022)

Ramiandrisoa, N. L., Rakotonjohary, M. A., Wertz, V., & Guillaume, J. F. (2022). IMPACTS OF THE IMPLEMENTATION OF THE LMD REFORM ON THE PEDAGOGY AMONG TEACHERS OF UNIVERSITY ANTANANARIVO. International Journal Of Advance Research And Innovative Ideas In Education, 8(4). https://hdl.handle.net/2078.5/240051 (Original work published 2022)

Van Hoorebeeck, L., Absil, P.-A., & Papavasiliou, A. (2022). Solving non-convex economic dispatch with valve-point effects and losses with guaranteed accuracy. International Journal of Electrical Power & Energy Systems, 134, 107143. https://doi.org/10.1016/j.ijepes.2021.107143 (Original work published 2022)

Wang, Z., Berger, G., & Jungers, R. (2022). Data-driven control of switched linear systems with probabilistic stability guarantees. arxiv. Submitted. https://doi.org/10.48550/arxiv.2103.10823 (Original work published 2022)

Ngoc Ha Hoang, T.S. Nguyen, T.K.P. Le, T.T.H. Phan, M.A. Hussain, & Dochain, D. (2022). Trajectory tracking for nonlinear systems using extended quadratic port-Hamiltonian models without input and state coordinate transformations. Systems & Control Letters, 167(105325), 1-13. https://hdl.handle.net/2078.5/102116 (Original work published 2022)

Crevecoeur, F., Mathew, J., & Lefèvre, P. (2022). Separability of Human Motor Memories during reaching adaptation with force cues. PLoS Computational Biology, 18(10), e1009966 [1-20]. https://doi.org/10.1371/journal.pcbi.1009966 (Original work published 2022)

Robert David, Robert David, Dochain, D., Jérôme Harmand, & Thibault Nidelet. (2022). Consideration of maintenance in wine fermentation modelling. Foods, 11(1682), 1-18. https://hdl.handle.net/2078.5/106532 (Original work published 2022)

Bianchin, G., Poveda, J. I., & Dall’Anese, E. (2022). Online optimization of switched LTI systems using continuous-time and hybrid accelerated gradient flows. Automatica, 146, 110579. https://doi.org/10.1016/j.automatica.2022.110579 (Original work published 2022)

Yafei Lu, Zhou Fang, Chuanhou Gao, & Dochain, D. (2022). Noise-to-state exponentially stabilizing (state, input)-disturbed CSTRs with non-vanishing noise. Automatica (Online), 142(110387), 1-7. https://hdl.handle.net/2078.5/164177 (Original work published 2022)

Bastin, G., Coron, J.-M., & Hayat, A. (2022). Diffusion and robustness of boundary feedback stabilization of hyperbolic systems. Mathematics of Control, Signals, and Systems. Published. https://doi.org/10.1007/s00498-022-00335-0 (Original work published 2022)

Nunes Grapiglia, G., & Stella, G. F. D. (2022). An adaptive trust-region method without function evaluations. Computational Optimization and Applications : an international journal, 82(1), 31-60. https://doi.org/10.1007/s10589-022-00356-0 (Original work published 2022)

Anthony Hastir, Winkin, J., & Dochain, D. (2022). Adaptive output tracking for nonlinear infinite-dimensional systems. IFAC Proceedings, 55(26), 39-46. https://hdl.handle.net/2078.5/164175 (Original work published 2022)

Yafei Lu, Chuanhou Gao, & Denis Dochain. (2022). Lyapunov Function PDEs to the Stability of Some Complex Balancing Derivative and Compound Networks. IEEE Transactions on Automatic Control, 67(10), 5026-5038. https://doi.org/10.1109/TAC.2021.3115889 (Original work published 2022)

Aaron Romo, Nicolas Hudon, Erik Ydstie, & Dochain, D. (2022). A Preliminary Analysis on Internal Entropy Production as a Lyapunov Function for Equilibrium in Irreversible Multiphase Systems. IFAC Proceedings, 55(18), 27-32. https://hdl.handle.net/2078.5/102105 (Original work published 2022)

De Comite, A., Crevecoeur, F., & Lefèvre, P. (2022). Reward-Dependent Selection of Feedback Gains Impacts Rapid Motor Decisions. eNeuro, 9(2), ENEURO. https://doi.org/10.1523/eneuro.0439-21.2022 (Original work published 2022)

El Khoury, G., Libouton, X., De Boeck, F., & Barbier, O. (2022). Use of a 3D-printed splint for the treatment of distal radius fractures: A randomized controlled trial. Orthopaedics & Traumatology: Surgery & Research, 108(5), 103326 [1-6]. https://doi.org/10.1016/j.otsr.2022.103326 (Original work published 2022)

Kadima Kazaku, J., Dochain, D., Moïse Mukepe Kahilu, & Jimmy Kalenga Kaunde Kasongo. (2022). P-I Boundary Control of Countercurrent Heat Exchanger. IFAC Proceedings, 55(40), 49-54. https://hdl.handle.net/2078.5/102107 (Original work published 2022)

Schiltz, F., Delhaye, B., Thonnard, J.-L., & Lefèvre, P. (2022). Grip Force is Adjusted at a Level That Maintains an Upper Bound on Partial Slip Across Friction Conditions During Object Manipulation. IEEE Transactions on Haptics, 15(1), 2-7. https://doi.org/10.1109/toh.2021.3137969 (Original work published 2022)

Dirksen, S., Genzel, M., Stollenwerk, A., & Jacques, L. (2022). The Separation Capacity of Random Neural Networks. Journal of Machine Learning Research, 23(209), 1-47. https://hdl.handle.net/2078.5/254213 (Original work published 2022)

Cothren, L., Bianchin, G., & Dall’Anese, E. (2022). Online Optimization of Dynamical Systems With Deep Learning Perception. IEEE Open Journal of Control Systems, 1, 306-321. https://doi.org/10.1109/ojcsys.2022.3205871 (Original work published 2022)

Murdison, T. S., Standage, D. I., Lefèvre, P., & Blohm, G. (2022). Effector-dependent stochastic reference frame transformations alter decision-making. Journal of Vision, 22(8), 1. https://doi.org/10.1167/jov.22.8.1 (Original work published 2022)

Anikin, A., Gasnikov, A., Gornov, A., Kamzolov, D., Maximov, Y., & Nesterov, Y. (2022). Efficient numerical methods to solve sparse linear equations with application to PageRank. Optimization Methods and Software, 37(3), 907-935. https://doi.org/10.1080/10556788.2020.1858297 (Original work published 2022)

Németh, Á., Harangi, M., Daroczy, B. Z., Juhász, L., Paragh, G., & Fülöp, P. (2022). Identifying Patients with Familial Chylomicronemia Syndrome Using FCS Score-Based Data Mining Methods. Journal of Clinical Medicine, 11(15), 4311. https://doi.org/10.3390/jcm11154311 (Original work published 2022)

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Ren, W., Jungers, R., & Dimarogonas, D. V. (2022). Razumikhin and Krasovskii approaches for safe stabilization. Automatica, 146, 110563. https://doi.org/10.1016/j.automatica.2022.110563 (Original work published 2022)

Galarza-Jimenez, F., Poveda, J. I., Bianchin, G., & Dall’Anese, E. (2022). Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach. IEEE Control Systems Letters, 6, 133-138. https://doi.org/10.1109/lcsys.2021.3050451 (Original work published 2022)

Nesterov, Y. (2022). Inexact basic tensor methods for some classes of convex optimization problems. Optimization Methods and Software, 37(3), 878-906. https://doi.org/10.1080/10556788.2020.1854252 (Original work published 2022)

Pinto, Samuel. C., Andersson, Sean. B., Hendrickx, J., & Cassandras, Christos. G. (2022). Multi-Agent Persistent Monitoring of Targets with Uncertain States. IEEE Transactions on Automatic Control, 67(8), 3997-4012. https://doi.org/10.1109/TAC.2022.3140257 (Original work published 2022)

Müller, D., Nesterov, Y., & Shikhman, V. (2022). Discrete Choice Prox-Functions on the Simplex. Mathematics of operations research, 47(1), 485-507. https://doi.org/10.1287/moor.2021.1136 (Original work published 2022)

Ren, W., & Dimarogonas, D. V. (2022). Event-Triggered Tracking Control of Networked Multiagent Systems. IEEE Transactions on Automatic Control, 67(10), 5332-5347. https://doi.org/10.1109/tac.2022.3180789 (Original work published 2022)

Neves Egidio, L., Grace S. Deaecto, & Jungers, R. (2022). Stabilization of rank-deficient continuous-time switched affine systems. Automatica, 143, 110426. https://doi.org/10.1016/j.automatica.2022.110426 (Original work published 2022)

Doikov, N., & Nesterov, Y. (2022). High-Order Optimization Methods for Fully Composite Problems. SIAM Journal on Optimization, 32(3), 2402-2427. https://doi.org/10.1137/21m1410063 (Original work published 2022)

Gomez, M. A., Michiels, W., Jungers, R., Mattenet, S., De Iuliis, V., & et al. (2022). An improved finiteness test and a systematic procedure to compute the strong H2 norm of differential algebraic systems with multiple delays. Automatica, 144(110495). https://doi.org/10.1016/j.automatica.2022.110495 (Original work published 2022)

Dopico, F. M., Marcaida, S., Quintana, M. C., & Van Dooren, P. (2022). Block full rank linearizations of rational matrices. Linear and Multilinear Algebra, 1-31. https://doi.org/10.1080/03081087.2022.2033151 (Original work published 2022)

Cartis, C., Massart, E., & Otemissov, A. (2022). Bound-constrained global optimization of functions with low effective dimensionality using multiple random embeddings. Mathematical Programming, 198(1), 997-1058. https://doi.org/10.1007/s10107-022-01812-9 (Original work published 2022)

Guérit, S., Sivankutty, S., Lee, J., Rigneault, H., & Jacques, L. (2022). Compressive Imaging Through Optical Fiber with Partial Speckle Scanning. SIAM Journal on Imaging Sciences, 15(2), 387-423. https://doi.org/10.1137/21m1407586 (Original work published 2022)

Vanderlinden, A., El Khoury, G., Bonnelance, M., Libouton, X., & Barbier, O. (2022). Prise en charge d’une fracture du radius distal chez l’adulte : le bon traitement pour le bon patient. Louvain médical, 141(5), 269-275. https://hdl.handle.net/2078.5/164629 (Original work published 2022)

Mehdifar, F., Bechlioulis, C. P., Hendrickx, J., & Dimarogonas, D. V. (2022). 2-D Directed Formation Control Based on Bipolar Coordinates. IEEE Transactions on Automatic Control, 1-16. https://doi.org/10.1109/TAC.2022.3206603 (Original work published 2022)

Dong, S., Gao, B., Guan, Y., & Glineur, F. (2022). New Riemannian Preconditioned Algorithms for Tensor Completion via Polyadic Decomposition. SIAM Journal on Matrix Analysis and Applications, 43(2), 840-866. https://doi.org/10.1137/21M1394734 (Original work published 2022)

Doikov, N., & Nesterov, Y. (2022). Local convergence of tensor methods. Mathematical Programming, 193(1), 315-336. https://doi.org/10.1007/s10107-020-01606-x (Original work published 2022)

Ren, W., vlahakis, Athanasopoulos, N., & Jungers, R. (2022). Optimal Resource Scheduling and Allocation under Allowable Over-Scheduling. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2204.00038 (Original work published 2022)

Marrinan, T., Absil, P.-A., & Gillis, N. (2021). On a minimum enclosing ball of a collection of linear subspaces. Linear Algebra and Its Applications, 625, 248-278. https://doi.org/10.1016/j.laa.2021.05.006 (Original work published 2021)

Mathew, J., & Crevecoeur, F. (2021). Adaptive Feedback Control in Human Reaching Adaptation to Force Fields. Frontiers in Human Neuroscience, 15. https://doi.org/10.3389/fnhum.2021.742608 (Original work published 2021)

Lefèvre, P. (2021). Want to win a bowling game? Beware of even one glass of alcohol! The Journal of Physiology. Published. https://doi.org/10.1113/jp280984 (Original work published 2021)

Catalano, C., Azfar, U., Charlier, L., & Jungers, R. (2021). A Linear Bound on the k-rendezvous Time for Primitive Sets of NZ Matrices. Fundamenta Informaticae, 180(4), 289-314. https://doi.org/10.3233/fi-2021-2043 (Original work published 2021)

Nguyen, T. S., Absil, P.-A., Gao, B., & Stykel, T. (2021). Symplectic eigenvalue problem via trace minimization and Riemannian optimization. SIAM Journal on Matrix Analysis and Applications, 42(4), 1732-1757. https://doi.org/10.1137/21m1390621 (Original work published 2021)

Nunes Grapiglia, G., & Sachs, E. W. (2021). A generalized worst-case complexity analysis for non-monotone line searches. Numerical Algorithms, 87, 779-796. https://doi.org/10.1007/s11075-020-00987-6 (Original work published 2021)

Wang, Z., Jungers, R., & Ong, C. J. (2021). Computation of the maximal invariant set of discrete-time linear systems subject to a class of non-convex constraints. Automatica, 125, 109463. https://doi.org/10.1016/j.automatica.2020.109463 (Original work published 2021)

Berger, G., & Jungers, R. (2021). $p$-dominant switched linear systems. Automatica, 132(109801 (2021)). https://doi.org/10.1016/j.automatica.2021.109801 (Original work published 2021)

Mathew, J., Lefèvre, P., & Crevecoeur, F. (2021). Savings in Human Force Field Learning Supported by Feedback Adaptation. eNeuro, 8(5), ENEURO. https://doi.org/10.1523/eneuro.0088-21.2021 (Original work published 2021)

Delhaye, B., Schiltz, F., Barrea, A., Thonnard, J.-L., & Lefèvre, P. (2021). Measuring fingerpad deformation during active object manipulation. Journal of Neurophysiology, 126(4), 1455-1464. https://doi.org/10.1152/jn.00358.2021 (Original work published 2021)

Hamaide, V., & Glineur, F. (2021). Unsupervised Minimum Redundancy Maximum Relevance Feature Selection for Predictive Maintenance : Application to a Rotating Machine. International Journal of Prognostics and Health Management, 12(2), 1-14. https://doi.org/10.36001/ijphm.2021.v12i2.2955 (Original work published 2021)

Dong, S., Absil, P.-A., & Gallivan, K. A. (2021). Riemannian gradient descent methods for graph-regularized matrix completion. Linear Algebra and Its Applications, 623, 193-235. https://doi.org/10.1016/j.laa.2020.06.010 (Original work published 2021)

Legat, B., Dowson, O., Garcia, J. D., & Lubin, M. (2021). MathOptInterface: a data structure for mathematical optimization problems. INFORMS Journal on Computing. Accepted/in-press. https://hdl.handle.net/2078.5/274577 (Original work published 2021)

Schellekens, V., & Jacques, L. (2021). Breaking the waves: asymmetric random periodic features for low-bitrate kernel machines. Information and Inference: A Journal of the IMA. Published. https://doi.org/10.1093/imaiai/iaab008 (Original work published 2021)

Pairet, B., Cantalloube, F., & Jacques, L. (2021). MAYONNAISE: a morphological components analysis pipeline for circumstellar discs and exoplanets imaging in the near-infrared. Monthly Notices of the Royal Astronomical Society, 503(3), 3724-3742. https://doi.org/10.1093/mnras/stab607 (Original work published 2021)

Bastin, G., Chotteau, V., & Vande Wouwer, A. (2021). Metabolic flux analysis of VERO cells under various culture conditions. Processes, 9(12), 2079. https://doi.org/10.3390/pr9122097 (Original work published 2021)

Smolak, K., Siła-Nowicka, K., Delvenne, J.-C., Wierzbiński, M., & Rohm, W. (2021). The impact of human mobility data scales and processing on movement predictability. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-94102-x (Original work published 2021)

Legat, B., & Rocher, L. (2021). The Limits of Pairwise Correlation to Model the Joint Entropy. Sensors, 21(11), 1-3. https://doi.org/10.3390/s21113700 (Original work published 2021)

Berger, G., & Jungers, R. (2021). Quantized stabilization of continuous-time switched linear systems. IEEE Control Systems Letters, 5(1), 319-324. https://doi.org/10.1109/LCSYS.2020.3002068 (Original work published 2021)

Konstantinova, E. V., & Medvedev, A. (2021). Small cycles, generalized prisms and Hamiltonian cycles in the Bubble-sort graph. Information Processing Letters, 168, 106094. https://doi.org/10.1016/j.ipl.2021.106094 (Original work published 2021)

Anthony Hastir, Winkin, J., & Denis Dochain. (2021). On local exponential stability of equilibrium profiles of nonlinear distributed parameter systems. IFAC Symposia Series, 54(9), 390-396. https://hdl.handle.net/2078.5/107903 (Original work published 2021)

Marchand, M., Gallivan, K., Huang, W., & Van Dooren, P. (2021). Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem. SIAM Journal on Mathematics of Data Science, 3(2), 736-757. https://doi.org/10.1137/20m1358785 (Original work published 2021)

Dewez, J., Gillis, N., & Glineur, F. (2021). A geometric lower bound on the extension complexity of polytopes based on the f-vector. Discrete Applied Mathematics, 303, 22-38. https://doi.org/10.1016/j.dam.2020.09.028 (Original work published 2021)

Chiêm, B., Crevecoeur, F., & Delvenne, J.-C. (2021). Structure-informed functional connectivity driven by identifiable and state-specific control regions. Network Neuroscience, 1-37. https://doi.org/10.1162/netn_a_00192 (Original work published 2021)

Ben Ayed, A., Denis Dochain, Ionela Prodan, & Robles Rodriguez, C. E. (2021). Centralized model predictive control of the wastewater treatment plant of Seine-Aval. Proceedings ICSTCC. Published. https://hdl.handle.net/2078.5/107901 (Original work published 2021)

De Comite, A., Crevecoeur, F., & Lefèvre, P. (2021). Online modification of goal-directed control in human reaching movements. Journal of Neurophysiology, 125(5), 1883-1898. https://doi.org/10.1152/jn.00536.2020 (Original work published 2021)

Faccin, M., Schaub, Michael. T., & Delvenne, J.-C. (2021). State Aggregations in Markov Chains and Block Models of Networks. Physical Review Letters, 127(7). https://doi.org/10.1103/physrevlett.127.078301 (Original work published 2021)

El Khoury, G., Penta, M., Barbier, O., Libouton, X., Thonnard, J.-L., & Lefèvre, P. (2021). Recognizing Manual Activities Using Wearable Inertial Measurement Units: Clinical Application for Outcome Measurement. Sensors, 21(9), 3245 [1-14]. https://doi.org/10.3390/s21093245 (Original work published 2021)

Ren, W., & Xiong, J. (2021). Robust Filtering for 2-D Discrete-Time Switched Systems. IEEE Transactions on Automatic Control, 66(10), 4747-4760. https://doi.org/10.1109/tac.2020.3037056 (Original work published 2021)

Gao, B., Nguyen, T. S., Absil, P.-A., & Stykel, T. (2021). Riemannian Optimization on the Symplectic Stiefel Manifold. SIAM Journal on Optimization, 31(2), 1546-1575. https://doi.org/10.1137/20m1348522 (Original work published 2021)

Herter, T. M., Kurtzer, I., Granat, L., Crevecoeur, F., Dukelow, S. P., & Scott, S. H. (2021). Interjoint coupling of position sense reflects sensory contributions of biarticular muscles. Journal of Neurophysiology, 125(4), 1223-1235. https://doi.org/10.1152/jn.00317.2019 (Original work published 2021)

Jungers, R. (2021). Raphael M. Jungers [People in Control]. IEEE Control Systems, 41(3), 21-23. https://doi.org/10.1109/MCS.2021.3062960 (Original work published 2021)

Rodomanov, A., & Nesterov, Y. (2021). New Results on Superlinear Convergence of Classical Quasi-Newton Methods. Journal of Optimization Theory and Applications, 188(3), 744-769. https://doi.org/10.1007/s10957-020-01805-8 (Original work published 2021)

Jung, H. C., Maly, J., Palzer, L., & Stollenwerk, A. (2021). Quantized Compressed Sensing by Rectified Linear Units. IEEE Transactions on Information Theory, 67(6), 4125-4149. https://doi.org/10.1109/tit.2021.3070789 (Original work published 2021)

Millérioux, G., & Jungers, R. (2021). Characterization of flat outputs of switched linear discrete-time systems: Algebraic condition and algorithm. Systems & Control Letters, 154, 104970. https://doi.org/10.1016/j.sysconle.2021.104970 (Original work published 2021)

Nyéki, A., Kerepesi, C., Daroczy, B. Z., Benczúr, A., Milics, G., Nagy, J., Harsányi, E., Kovács, A. J., & Neményi, M. (2021). Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods. Precision agriculture. Accepted/in-press. https://doi.org/10.1007/s11119-021-09833-8 (Original work published 2021)

Hemptinne, C., Deravet, N., Orban de Xivry, J.-J., Lefèvre, P., & Yuksel, D. (2021). Influence of prior and visual information on eye movements in amblyopic children. Journal of Computational Neuroscience, 49(3), 333-343. https://doi.org/10.1007/s10827-020-00764-3 (Original work published 2021)

Chiêm, B., Abbas, K., Amico, E., Duong-Tran, D., Crevecoeur, F., & Goni, J. (2021). Improving Functional Connectome Fingerprinting with Degree-Normalization. Brain Connectivity. Accepted/in-press. https://doi.org/10.1089/brain.2020.0968 (Original work published 2021)

Claes, A., Wiard, V., Mercenier, H., Philippette, T., Dufrasne, M., Browet, A., & Jungers, R. (2021). Algorithmes de recommandation et culture technique : penser le dialogue entre éducation et design. tic & société, 15(1), 127-157. https://doi.org/10.4000/ticetsociete.5915 (Original work published 2021)

Mehrmann, V., & Van Dooren, P. (2021). Structured Backward Errors for Eigenvalues of Linear Port-Hamiltonian Descriptor Systems. SIAM Journal on Matrix Analysis and Applications, 42(1), 1-16. https://doi.org/10.1137/20m1344184 (Original work published 2021)

Bastin, G., Coron, J.-M., & Hayat, A. (2021). Input-to-State Stability in sup norms for hyperbolic systems with boundary disturbances. Nonlinear Analysis, 208, Paper 112300. https://doi.org/10.1016/j.na.2021.112300 (Original work published 2021)

Musolas, A., Massart, E., Hendrickx, J., Absil, P.-A., & Marzouk, Y. (2021). Low-rank multi-parametric covariance identification. Bit (Lisse) : numerical mathematics, 62, 221-249. https://doi.org/10.1007/s10543-021-00867-y (Original work published 2021)

Elosmani, A. O., Bouagada, D., Van Dooren, P., & Benyettou, K. (2021). LMI stability test for multidimensional linear state–space models. Journal of Computational and Applied Mathematics, 390, 113363. https://doi.org/10.1016/j.cam.2020.113363 (Original work published 2021)

Nesterov, Y. (2021). Implementable tensor methods in unconstrained convex optimization. Mathematical Programming, 186(1-2), 157-183. https://doi.org/10.1007/s10107-019-01449-1 (Original work published 2021)

Wang, L., Gao, B., & Liu, X. (2021). Multipliers Correction Methods for Optimization Problems over the Stiefel Manifold. CSIAM Transactions on Applied Mathematics, 2(3), 508-531. https://doi.org/10.4208/csiam-am.so-2020-0008 (Original work published 2021)

Shi, M. (2021). Distributed estimation of time varying bias in relative state measurements. IEEE Transactions on Automatic Control, 1. https://doi.org/10.1109/tac.2021.3115429 (Original work published 2021)

Bastin, G., Coron, J.-M., & Hayat, A. (2021). Feedforward boundary control of 2×2 nonlinear hyperbolic systems with application to Saint-Venant equations. European Journal of Control, 57, 41-53. https://doi.org/10.1016/j.ejcon.2020.11.002 (Original work published 2021)

Romeo Ortega, Alexey Bobtsov, Nikolay Nikolaev, Johannes Schiffer, & Dochain, D. (2021). Generalized Parameter Estimation-based Observers: Application to Power Systems and Chemical-Biological Reactors. Automatica (Online), 129, 10963. https://doi.org/10.1016/j.automatica.2021.109635 (Original work published 2021)

Nesterov, Y. (2021). Superfast Second-Order Methods for Unconstrained Convex Optimization. Journal of Optimization Theory and Applications, 191(1), 1-30. https://doi.org/10.1007/s10957-021-01930-y (Original work published 2021)

Freitas, N., Delvenne, J.-C., & Esposito, M. (2021). Stochastic Thermodynamics of Nonlinear Electronic Circuits: A Realistic Framework for Computing Around kT. Physical Review X, 11(3). https://doi.org/10.1103/physrevx.11.031064 (Original work published 2021)

Zhang, K., He, M., Fan, Y., Zhao, H., Gao, B., Yang, K., Li, F., Tang, Y., Gao, Q., Lin, T., Quinet, M., & et al. (2021). Resequencing of global Tartary buckwheat accessions reveals multiple domestication events and key loci associated with agronomic traits. Genome Biology, 22(1), 23. https://doi.org/10.1186/s13059-020-02217-7 (Original work published 2021)

Opsomer, L., Crevecoeur, F., Thonnard, J.-L., McIntyre, J., & Lefèvre, P. (2021). Distinct adaptation patterns between grip dynamics and arm kinematics when the body is upside-down. Journal of Neurophysiology, 125(3), 862-874. https://doi.org/10.1152/jn.00357.2020 (Original work published 2021)

Vassiliadis, P., Derosiere, G., Dubuc, C., Lété, A., Crevecoeur, F., Hummel, F. C., & Duque, J. (2021). Reward boosts reinforcement-based motor learning. iScience. Published. https://hdl.handle.net/2078.5/165929 (Original work published 2021)

Rubbens, A., Wang, Z., & Jungers, R. M. (2021). Data-driven stability analysis of switched linear systems with Sum of Squares guarantees. IFAC-PapersOnLine, 54(5), 67-72. https://doi.org/10.1016/j.ifacol.2021.08.476 (Original work published 2021)

Blondel, V., Jung, K., Kohli, P., Shah, D., & Won, S. (2021). Partition-Merge: Distributed Inference and Modularity Optimization. I E E E Access, 9, 54032-54055. https://doi.org/10.1109/access.2021.3070490 (Original work published 2021)

Nesterov, Y. (2021). Inexact High-Order Proximal-Point Methods with Auxiliary Search Procedure. SIAM Journal on Optimization, 31(4), 2807-2828. https://doi.org/10.1137/20M134705X (Original work published 2021)

El Khoury, G., Penta, M., & Barbier, O. (2021). ABILHAND-HS: a linear scale for outcome measurement in hand surgery. The Journal of Hand Surgery. European Volume, 1753193421991485. https://doi.org/10.1177/1753193421991485 (Original work published 2021)

Beniich, N., El Bouhtouri, A., & Dochain, D. (2021). Adaptive λ-tracking controller for an exothermic chemical plug flow tubular reactor. International Journal of Control. Accepted/in-press. https://hdl.handle.net/2078.5/167903 (Original work published 2021)

J Wildemeersch, Dupont, c., Jungers, R., Laborderie, V., & et al. (2021). L’interdiction des voyages non essentiels : analyse critique d’une interdiction non essentielle. La Libre Belgique. Published. https://hdl.handle.net/2078.5/252328 (Original work published 2021)

Danion, F. R., Mathew, J., Gouirand, N., & Brenner, E. (2021). More precise tracking of horizontal than vertical target motion with both the eyes and hand. Cortex, 134, 30-42. https://doi.org/10.1016/j.cortex.2020.10.001 (Original work published 2021)

Deravet, N., Orban de Xivry, J.-J., Ivanoiu, A., Bier, J.-C., Segers, K., Yuksel, D., & Lefèvre, P. (2021). Frontotemporal dementia patients exhibit deficits in predictive saccades. Journal of Computational Neuroscience, 49, 357-369. https://doi.org/10.1007/s10827-020-00765-2 (Original work published 2021)

Gao, B., & Absil, P.-A. (2021). A Riemannian rank-adaptive method for low-rank matrix completion. Computational Optimization and Applications : an international journal. Published. https://doi.org/10.1007/s10589-021-00328-w (Original work published 2021)

Aspeel, A., Legay, A., Jungers, R. M., & Macq, B. (2021). Optimal measurement budget allocation for Kalman prediction over a finite time horizon by genetic algorithms. EURASIP Journal on Advances in Signal Processing, 2021(1). https://doi.org/10.1186/s13634-021-00732-8 (Original work published 2021)

Jacques, L., & Feuillen, T. (2021). The Importance of Phase in Complex Compressive Sensing. IEEE Transactions on Information Theory, 67(6), 4150-4161. https://doi.org/10.1109/tit.2021.3073566 (Original work published 2021)

Nunes Grapiglia, G., & Chorobura, F. (2021). Worst-case evaluation complexity of derivative-free nonmonotone line search methods for solving nonlinear systems of equations. Computational and Applied Mathematics, 40(259). https://doi.org/10.1007/s40314-021-01621-4 (Original work published 2021)

Chatalic, A., Schellekens, V., Houssiau, F., de Montjoye, Y.-A., Jacques, L., & Gribonval, R. (2021). Compressive learning with privacy guarantees. Information and Inference: A Journal of the IMA. Published. https://doi.org/10.1093/imaiai/iaab005 (Original work published 2021)

Nunes Grapiglia, G., & Yuan, Y. (2021). On the complexity of an augmented Lagrangian method for nonconvex optimization. IMA Journal of Numerical Analysis, 41(2), 1546-1568. https://doi.org/10.1093/imanum/draa021 (Original work published 2021)

Doikov, N., & Nesterov, Y. (2021). Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method. Journal of Optimization Theory and Applications, 189(1), 317-339. https://doi.org/10.1007/s10957-021-01838-7 (Original work published 2021)

Delhaye, B., Jarocka, E., Barrea, A., Thonnard, J.-L., Edin, B., & Lefèvre, P. (2021). High-resolution imaging of skin deformation shows that afferents from human fingertips signal slip onset. eLife, 10. https://doi.org/10.7554/elife.64679 (Original work published 2021)

Nunes Grapiglia, G., & Nesterov, Y. (2021). On inexact solution of auxiliary problems in tensor methods for convex optimization. Optimization Methods and Software, 36(1), 145-170. https://doi.org/10.1080/10556788.2020.1731749 (Original work published 2021)

Heroy, S., Loaiza Saa, I., Pentland, A., & O’Clery, N. (2021). COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour. Journal of the Royal Society Interface, 18(176). https://doi.org/10.1098/rsif.2020.1035 (Original work published 2021)

Gribonval, R., Chatalic, A., Keriven, N., Schellekens, V., Jacques, L., & Schniter, P. (2021). Sketching Data Sets for Large-Scale Learning: Keeping only what you need. I E E E Signal Processing Magazine, 38(5), 12-36. https://doi.org/10.1109/msp.2021.3092574 (Original work published 2021)

Nunes Grapiglia, G., & Nesterov, Y. (2020). Tensor methods for minimizing convex functions with Hölder continuous higher-order derivatives. SIAM Journal on Optimization, 30(4), 2750-2779. https://doi.org/10.1137/19M1259432 (Original work published 2020)

Feuillen, T., Davies, M. E., Vandendorpe, L., & Jacques, L. (2020). (l_1,l_2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. IEEE Signal Processing Letters, 27(27), 396-400. https://doi.org/10.1109/lsp.2020.2973506 (Original work published 2020)

De Klerk, E., Glineur, F., & Taylor, A. B. (2020). Worst-Case Convergence Analysis of Inexact Gradient and Newton Methods Through Semidefinite Programming Performance Estimation. SIAM Journal on Optimization, 30(3), 2053-2082. https://doi.org/10.1137/19m1281368 (Original work published 2020)

Dopico, F. M., Marcaida, S., Quintana, M. C., & Van Dooren, P. (2020). Local linearizations of rational matrices with application to rational approximations of nonlinear eigenvalue problems. Linear Algebra and Its Applications, 604, 441-475. https://doi.org/10.1016/j.laa.2020.07.004 (Original work published 2020)

Benner, P., Goyal, P., & Van Dooren, P. (2020). Identification of port-Hamiltonian systems from frequency response data. Systems & Control Letters, 143, 104741. https://doi.org/10.1016/j.sysconle.2020.104741 (Original work published 2020)

Hendrickx, J. (2020). Julien M. Hendrickx [People in Control]. IEEE Control Systems, 40(4), 21-22. https://doi.org/10.1109/MCS.2020.2990512 (Original work published 2020)

Mehdifar, F., Charalampos P. Bechlioulis, Farzad Hashemzadeh, Mahdi Baradarannia, & et al. (2020). Prescribed Performance Distance-Based Formation Control of Multi-Agent Systems (Extended Version). Automatica. Accepted/in-press. https://hdl.handle.net/2078.5/169290 (Original work published 2020)

Haile, D., Rowen, L., & Tignol, J.-P. (2020). On Quaternion Algebras Split by a Given Extension, Clifford Algebras and Hyperelliptic Curves. Algebras and Representation Theory, 23(4), 1807-1826. https://doi.org/10.1007/s10468-019-09914-3 (Original work published 2020)

Bankmann, D., Mehrmann, V., Nesterov, Y., & Van Dooren, P. (2020). Computation of the Analytic Center of the Solution Set of the Linear Matrix Inequality Arising in Continuous- and Discrete-Time Passivity Analysis. Vietnam Journal of Mathematics, 48(4), 633-659. https://doi.org/10.1007/s10013-020-00427-x (Original work published 2020)

Bianchin, G., & Pasqualetti, F. (2020). Gramian-Based Optimization for the Analysis and Control of Traffic Networks. IEEE Transactions on Intelligent Transportation Systems, 21(7), 3013-3024. https://doi.org/10.1109/tits.2019.2922900 (Original work published 2020)

Mastronardi, N., & Van Dooren, P. (2020). On QZ steps with perfect shifts and computing the index of a differential-algebraic equation. IMA Journal of Numerical Analysis. Accepted/in-press. https://doi.org/10.1093/imanum/draa049 (Original work published 2020)

Gomez, M. A., Jungers, R., & Michiels, W. (2020). On the m-dimensional Cayley–Hamilton theorem and its application to an algebraic decision problem inferred from the H2 norm analysis of delay systems. Automatica, 113(108761), 9. https://doi.org/10.1016/j.automatica.2019.108761 (Original work published 2020)

Mehrmann, V., & Van Dooren, P. (2020). Optimal Robustness of Port-Hamiltonian Systems. SIAM Journal on Matrix Analysis and Applications, 41(1), 134-151. https://doi.org/10.1137/19m1259092 (Original work published 2020)

Cherng, Y.-G., Crevecoeur, F., & Wang, C.-A. (2020). Effects of pupillary light and darkness reflex on the generation of pro‐ And anti‐saccades. European Journal of Neuroscience. Accepted/in-press. https://doi.org/10.1111/ejn.15083 (Original work published 2020)

Athanasopoulos, N., Dechouniotis, D., Jungers, R., Leivadeas, A., Mitton, N., & Papavassiliou, S. (2020). Control co-design and resource allocation in edge computing and dynamic networks (Tutorial Session Proposal). https://hal.inria.fr/. Submitted. https://hdl.handle.net/2078.5/252019 (Original work published 2020)

Nesterov, Y. (2020). Soft clustering by convex electoral model. Soft Computing, 24(23), 17609-17620. https://doi.org/10.1007/s00500-020-05148-4 (Original work published 2020)

Gueuning, M., Cheng, S., Lambiotte, R., & Delvenne, J.-C. (2020). Rock–paper–scissors dynamics from random walks on temporal multiplex networks. Journal of Complex Networks, 8(2). https://doi.org/10.1093/comnet/cnz027 (Original work published 2019)

Legat, B., Tabuada, P., & Jungers, R. (2020). Sum-of-Squares methods for controlled invariant sets with applications to model-predictive control. Nonlinear Analysis: Hybrid Systems, 36, 100858. https://doi.org/10.1016/j.nahs.2020.100858 (Original work published 2020)

Bianchin, G., Liu, Y.-C., & Pasqualetti, F. (2020). Secure Navigation of Robots in Adversarial Environments. IEEE Control Systems Letters, 4(1), 1-6. https://doi.org/10.1109/lcsys.2019.2921753 (Original work published 2020)

El Khoury, G., Barbier, O., Libouton, X., Thonnard, J.-L., Lefèvre, P., & Penta, M. (2020). Manual ability in hand surgery patients: Validation of the ABILHAND scale in four diagnostic groups. PLoS One, 15(12), e0242625 [1-17]. https://doi.org/10.1371/journal.pone.0242625 (Original work published 2020)

Hastir, A., Winkin, J. J., & Dochain, D. (2020). Exponential stability of nonlinear infinite-dimensional systems: Application to nonisothermal axial dispersion tubular reactors. Automatica, 121, 109201. https://doi.org/10.1016/j.automatica.2020.109201 (Original work published 2020)

White, O., Gaveau, J., Bringoux, L., & Crevecoeur, F. (2020). The gravitational imprint on sensorimotor planning and control. Journal of Neurophysiology, 124(1). https://doi.org/10.1152/jn.00381.2019 (Original work published 2020)

Harmand, J., Rapaport, A., & Dochain, D. (2020). Increasing the dilution rate can globally stabilize two-step biological systems. Journal of Process Control, 95, 67-74. https://doi.org/10.1016/j.jprocont.2020.08.009 (Original work published 2020)

Rapaport, A., & Dochain, D. (2020). A robust asymptotic observer for systems that converge to unobservable states. A batch reactor case study. IEEE Transactions on Automatic Control, 65(6), 2693-2699. https://doi.org/10.1109/TAC.2019.2940870 (Original work published 2020)

Massart, E., & Absil, P.-A. (2020). Quotient Geometry with Simple Geodesics for the Manifold of Fixed-Rank Positive-Semidefinite Matrices. SIAM Journal on Matrix Analysis and Applications, 41(1), 171-198. https://doi.org/10.1137/18m1231389 (Original work published 2020)

Liu, Y.-C., Bianchin, G., & Pasqualetti, F. (2020). Secure trajectory planning against undetectable spoofing attacks. Automatica, 112, 108655. https://doi.org/10.1016/j.automatica.2019.108655 (Original work published 2020)

Benjilali, W., Guicquero, W., Jacques, L., & Sicard, G. (2020). Hardware-Compliant Compressive Image Sensor Architecture Based on Random Modulations and Permutations for Embedded Inference. IEEE Transactions on Circuits and Systems I: Regular Papers, 67(4), 1218-1231. https://doi.org/10.1109/tcsi.2020.2971565 (Original work published 2020)

Scheuer, A., Grégoire, G., Abisset-Chavanne, E., Chinesta, F., & Keunings, R. (2020). Modelling the effect of particle inertia on the orientation kinematics of fibres and spheroids immersed in a simple shear flow. Computers & Mathematics with Applications, 79(3), 539-554. https://doi.org/10.1016/j.camwa.2018.12.039 (Original work published 2020)

Mathew, J., Lefèvre, P., & Crevecoeur, F. (2020). Rapid changes in movement representations during human reaching could be preserved in memory for at least 850ms. eNeuro, 7(6), 1-13. https://doi.org/10.1523/eneuro.0266-20.2020 (Original work published 2020)

Catalano, C., & Jungers, R. (2020). The synchronizing probability function for primitive sets of matrices. International Journal of Foundations of Computer Science, 31(06), 777-803. https://doi.org/10.1142/S0129054120410051 (Original work published 2020)

Hautecoeur, C., & Glineur, F. (2020). Nonnegative Matrix Factorization over Continuous Signals using Parametrizable Functions. Neurocomputing, 416, 256-265. https://doi.org/10.1016/j.neucom.2019.11.109 (Original work published 2020)

Gutierrez Gomez, E. L., Bovet, A., & Delvenne, J.-C. (2020). Multi-scale anomaly detection on attributed networks. Proceedings of the AAAI Conference on Artificial Intelligence, 34(1), AAAI-20 Technical Tracks 1 (21% acceptance rate). https://hdl.handle.net/2078.5/168435 (Original work published 2020)

Gandica, Y., Decuyper, A., Cloquet, C., Thomas, I., & Delvenne, J.-C. (2020). Measuring the effect of node aggregation on community detection. EPJ Data Science, 9(6). https://doi.org/10.1140/epjds/s13688-020-00223-0 (Original work published 2020)

Bianchin, G., & Pasqualetti, F. (2020). Routing Apps May Cause Oscillatory Congestions in Traffic Networks. IEEE Open Journal of Control Systems. Published. https://doi.org/10.1109/cdc42340.2020.9303866 (Original work published 2020)

Yuan, X., Huang, W., Absil, P.-A., & Gallivan, K. A. (2020). Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method. Numerical Linear Algebra with Applications, 27(5), 2321. https://doi.org/10.1002/nla.2321 (Original work published 2020)

Rodomanov, A., & Nesterov, Y. (2020). Smoothness Parameter of Power of Euclidean Norm. Journal of Optimization Theory and Applications, 185(2), 303-326. https://doi.org/10.1007/s10957-020-01653-6 (Original work published 2020)

Berger, G., Absil, P.-A., Jungers, R., & Nesterov, Y. (2020). On the quality of first-order approximation of functions with Hölder continuous gradient. Journal of Optimization Theory and Applications, 185, 17-33. https://doi.org/10.1007/s10957-020-01632-x (Original work published 2020)

Doikov, N., & Nesterov, Y. (2020). Contracting Proximal Methods for Smooth Convex Optimization. SIAM Journal on Optimization, 30(4), 3146-3169. https://doi.org/10.1137/19M130769X (Original work published 2020)

Berger, G., & Jungers, R. (2020). Formal methods for computing hyperbolic invariant sets for nonlinear systems. IEEE Control Systems Letters, 4(1), 235-240. https://doi.org/10.1109/LCSYS.2019.2923923 (Original work published 2020)

Wang, Z., & Jungers, R. (2020). Scenario-Based Set Invariance Verification for Black-Box Nonlinear Systems. IEEE Control Systems Letters, 5(1), 193-198. https://doi.org/10.1109/lcsys.2020.3001882 (Original work published 2021)

Crevecoeur, F., Thonnard, J.-L., & Lefèvre, P. (2020). A very fast time scale of human motor adaptation: within movement adjustments of internal representations during reaching. eNeuro, 7(1), ENEURO. https://doi.org/10.1523/eneuro.0149-19.2019 (Original work published 2020)

Falasco, G., Esposito, M., & Delvenne, J.-C. (2020). Unifying thermodynamic uncertainty relations. New Journal of Physics, 22(5), 53046. https://doi.org/10.1088/1367-2630/ab8679 (Original work published 2020)

Hào, D. N., Quyen, T. N. T., & Nguyen, T. S. (2020). Convergence Analysis of a Crank–Nicolson Galerkin Method for an Inverse Source Problem for Parabolic Equations with Boundary Observations. Applied Mathematics and Optimization : an international journal with applications to stochastics, 84(2), 2289-2325. https://doi.org/10.1007/s00245-020-09710-2 (Original work published 2020)

Dettmann, C. P., Jungers, R., & Mason, P. (2020). Lower bounds and dense discontinuity phenomena for the stabilizability radius of linear switched systems. Systems & Control Letters, 142, 104737. https://doi.org/10.1016/j.sysconle.2020.104737 (Original work published 2020)

Mathew, J., Masson, G. S., & Danion, F. R. (2020). Sex differences in visuomotor tracking. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-68069-0 (Original work published 2020)

Wang, Z., & Jungers, R. (2020). A data-driven method for computing polyhedral invariant sets of black-box switched linear systems. IEEE Control Systems Letters, 1. https://doi.org/10.1109/lcsys.2020.3044838 (Original work published 2020)

Hoffmann, T., Peel, L., Lambiotte, R., & Jones, N. S. (2020). Community detection in networks without observing edges. Science advances, 6(4). https://doi.org/10.1126/sciadv.aav1478 (Original work published 2020)

Mulders, D., De Bodt, C., Bjelland, J., Pentland, A., Verleysen, M., & de Montjoye, Y.-A. (2020). Inference of node attributes from social network assortativity. Neural Computing and Applications, 32, 18023-18043. https://doi.org/10.1007/s00521-018-03967-z (Original work published 2020)

Costa, C. M., & Nunes Grapiglia, G. (2020). A subspace version of the Wang–Yuan Augmented Lagrangian-Trust Region method for equality constrained optimization. Applied Mathematics and Computation, 387(0096-3003). https://doi.org/10.1016/j.amc.2019.124861 (Original work published 2020)

Ozdamar, I., Alipour Sormoli, M., Delhaye, B., Lefèvre, P., & Basdogan, C. (2020). Step-Change in Friction under Electrovibration. IEEE Transactions on Haptics, 13(1), 137-143. https://doi.org/10.1109/toh.2020.2966992 (Original work published 2020)

Laudadio, T., Mastronardi, N., & Van Dooren, P. (2020). Computing the eigenvectors of nonsymmetric tridiagonal matrices. Computational Mathematics and Mathematical Physics, 61, p. 733-749. https://hdl.handle.net/2078.5/254753 (Original work published 2021)

Quéguiner-Mathieu, A., & Tignol, J.-P. (2020). Decomposability of orthogonal involutions in degree 12. Pacific Journal of Mathematics, 304(1), 169-180. https://doi.org/10.2140/pjm.2020.304.169 (Original work published 2020)

Cinelli, M., Peel, L., Iovanella, A., & Delvenne, J.-C. (2020). Network constraints on the mixing patterns of binary node metadata. Physical Review E, 102(6). https://doi.org/10.1103/physreve.102.062310 (Original work published 2020)

Coutinho, J. D., Lefèvre, P., & Blohm, G. (2020). Confidence in predicted position error explains saccadic decisions during pursuit. Journal of Neurophysiology. Published. https://doi.org/10.1152/jn.00492.2019 (Original work published 2020)

Dechouniotis, D., Athanasopoulos, N., Leivadeas, A., Mitton, N., Jungers, R., & Papavassiliou, S. (2020). Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective. Sensors, 20(8), 2191. https://doi.org/10.3390/s20082191 (Original work published 2020)

Legat, B., Rakovic, S. V., & Jungers, R. (2020). Piecewise Semi-Ellipsoidal Control Invariant Sets. IEEE Control Systems Letters, 5(3), 755-760. https://doi.org/10.1109/lcsys.2020.3005326 (Original work published 2021)

Crevecoeur, F., Mathew, J., Bastin, M., & Lefèvre, P. (2020). Feedback Adaptation to Unpredictable Force Fields in 250 ms. eNeuro, 7(2), ENEURO. https://doi.org/10.1523/eneuro.0400-19.2020 (Original work published 2020)

Hastir, A., Winkin, J. J., & Dochain, D. (2020). On exponential bistability of equilibrium profiles of nonisothermal axial dispersion tubular reactors. IEEE Transactions on Automatic Control, 1. https://doi.org/10.1109/tac.2020.3014457 (Original work published 2020)

Birpoutsoukis, G., & Hendrickx, J. (2020). Gaussian process regression for the estimation of stable univariate time-series processes. ESANN 2020 Proceedings, P685-690. https://hdl.handle.net/2078.5/254639 (Original work published 2020)

Shi, M., De Persis, C., Tesi, P., & Monshizadeh, N. (2020). Bias Estimation in Sensor Networks. IEEE Transactions on Control of Network Systems, 7(3), 1534-1546. https://doi.org/10.1109/tcns.2020.2984684 (Original work published 2020)

Legat, B., Parrilo, P. A., & Jungers, R. (2020). Certifying Unstability of Switched Systems Using Sum of Squares Programming. SIAM Journal on Control and Optimization, 58(4), 2616-2638. https://doi.org/10.1137/18m1173460 (Original work published 2020)

Van Hoorebeeck, L., Absil, P.-A., & Papavasiliou, A. (2020). Global Solution of Economic Dispatch with Valve Point Effects and Transmission Constraints. Electric Power Systems Research, 189, 106786. https://doi.org/10.1016/j.epsr.2020.106786 (Original work published 2020)

Nesterov, Y., & Protasov, V. Yu. (2020). Computing Closest Stable Nonnegative Matrix. SIAM Journal on Matrix Analysis and Applications, 41(1), 1-28. https://doi.org/10.1137/17m1144568 (Original work published 2020)

Moshtaghpour, A., Bioucas-Dias, J. M., & Jacques, L. (2020). Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling with Haar Wavelet Basis. IEEE Transactions on Information Theory, 66(11), 7253-7273. https://doi.org/10.1109/tit.2020.2992852 (Original work published 2020)

Romo-Hernandez, R., Hudon, N., Ydstie, E., & Dochain, D. (2020). Pressure Control for Liquid-Vapor Systems far from Thermodynamic Equilibrium. Industrial & Engineering Chemistry Research, 59(6), 2252-2260. https://hdl.handle.net/2078.5/170008 (Original work published 2019)

Gutiérrez-Gómez, L., Vohryzek, J., Chiêm, B., Baumann, P. S., Conus, P., Cuenod, K. D., Hagmann, P., & Delvenne, J.-C. (2020). Stable biomarker identification for predicting schizophrenia in the human connectome. NeuroImage: Clinical, 27, 102316. https://doi.org/10.1016/j.nicl.2020.102316 (Original work published 2020)

Freitas, N., Delvenne, J.-C., & Esposito, M. (2020). Stochastic and Quantum Thermodynamics of Driven RLC Networks. Physical Review X, 10(3). https://doi.org/10.1103/physrevx.10.031005 (Original work published 2020)

Mehrmann, V., & Van Dooren, P. (2020). Optimal robustness of passive discrete-time systems. IMA Journal of Mathematical Control & Information, 37(4), 1248-1269. https://doi.org/10.1093/imamci/dnaa013 (Original work published 2020)