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Gianluca Bianchin

Professeur

SST/EPL Ecole polytechnique de Louvain (EPL)

SST/ICTM Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM)

SST/ICTM/INMA Pôle en ingénierie mathématique (INMA)

2026
Article de journal

Van Scoy, B., & Bianchin, G. (2026). Temporal Variabilities Limit Convergence Rates in Gradient-Based Online Optimization. American Control Conference. Proceedings. Submitted. (Original work published 2026)


Bianchin, G., Vaquero, M., Cortés, J., & Dall’Anese, E. (2026). The Role of Network Connectivity in Distributed k-Agreement Protocols. Automatica, 185(112753). https://doi.org/10.1016/j.automatica.2025.112753 (Original work published 2026)


2025
Papier de conférence

Mehrnoosh, A., & Bianchin, G. (2025). Optimization of Linear Multi-Agent Dynamical Systems via Feedback Distributed Gradient Descent Methods. IEEE Xplore. Published. 2025 American Control Conference (ACC), Denver, CO, USA. https://doi.org/10.23919/acc63710.2025.11107569


Bianchin, G., & van Scoy, B. (2025). The Discrete-time Internal Model Principle of Time-varying Optimization: Limitations and Algorithm Design. 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil.


Mehrnoosh, A., & Bianchin, G. (2025). Optimization of Linear Multi-Agent Dynamical Systems via Feedback Distributed Gradient Descent Methods. 2025 American Control Conference (ACC). Published. 2025 American Control Conference (ACC), Denver, CO, USA. https://doi.org/10.23919/acc63710.2025.11107569 (Original work published 2025)


Article de journal

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. (Original work published 2025)


2024
Article de journal

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)


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)


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)


Papier de conférence

Bianchin, G., & Delvenne, J.-C. (2024). Cycle families and Resilience of Dynamical Networks. IEEE Xplore. Published. 2024 American Control Conference (ACC), Toronto, ON, Canada. https://doi.org/10.23919/acc60939.2024.10644385


2023
Article de journal

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)


2022
Article de journal

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)


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)


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)


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)


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)


2021
Papier de conférence

Bianchin, G., Vaquero, M., Cortes, J., & Dall’Anese, E. (2021). Data-Driven Synthesis of Optimization-Based Controllers for Regulation of Unknown Linear Systems. IEEE Xplore. Published. 2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA. https://doi.org/10.1109/cdc45484.2021.9682795


2020
Article de journal

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)


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)


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)


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)


Papier de conférence

Bianchin, G., & Pasqualetti, F. (2020). Routing Apps May Cause Oscillatory Congestions in Traffic Networks. 2020 59th IEEE Conference on Decision and Control (CDC), Jeju, Korea (South).


2019
Papier de conférence

Bianchin, G., Pasqualetti, F., & Kundu, S. (2019). Resilience of Traffic Networks with Partially Controlled Routing. IEEE Xplore. Published. 2019 American Control Conference (ACC), Philadelphia, PA, USA. https://doi.org/10.23919/acc.2019.8815259


2018
Papier de conférence

Bianchin, G., & Pasqualetti, F. (2018). A Network Optimization Framework for the Analysis and Control of Traffic Dynamics and Intersection Signaling. IEEE Xplore. Published. 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, FL. https://doi.org/10.1109/cdc.2018.8619320


2017
Papier de conférence

Menara, T., Bianchin, G., Innocenti, M., & Pasqualetti, F. (2017). On the number of strongly structurally controllable networks. IEEE Xplore. Published. 2017 American Control Conference (ACC), Seattle, WA, USA. https://doi.org/10.23919/acc.2017.7962976


2016
Papier de conférence

Bianchin, G., Frasca, P., Gasparri, A., & Pasqualetti, F. (2016). The observability radius of network systems. IEEE Xplore. Published. 2016 American Control Conference (ACC), Boston, MA, USA. https://doi.org/10.1109/acc.2016.7524913


Unités d'enseignement pour 2026

Libellé Code
Linear Control LEPL1111
Stochastic processes : Estimation and prediction LINMA1731
Stochastic Optimal Control and Reinforcement Learning LINMA2222
System Identification LINMA2875