Dynamical Systems and Control
icteam | Louvain-la-Neuve
Dynamical Systems, Control, and Optimization focus on the modeling, analysis, and control of systems that evolve over time ranging from autonomous robots and smart infrastructure to biological and socio-technical networks. By leveraging mathematical modeling and optimization, researchers design control strategies that ensure system stability, performance, and adaptability in uncertain and dynamic environments.
Key research areas include:
Dynamical Systems Modeling – Formulating mathematical representations of time-evolving systems across physical, biological, and engineered domains.
Control Theory – Developing feedback and feedforward strategies to govern system behavior under constraints and uncertainty.
Hybrid and Nonlinear Systems – Analyzing and controlling systems that combine continuous dynamics with discrete events and nonlinear interactions.
Robotics & Autonomy – Applying control and planning techniques to enable adaptive, robust behavior in autonomous physical agents.Meet the Professors
Meet the Professors
(by alphabetical order)