Constrained Control of Complex Systems

The C3S Lab focuses on stability and control of complex dynamical systems subject to constraints. Complex dynamical systems typically encompass more interconnected nonlinear systems and perform complex tasks subject to rich safety and performance specifications. Mastering complex dynamical systems plays a key role in the development of smart energy systems, high-tech mechatronics, autonomous vehicles or bio-medical systems.

Research Profile

We make use of model predictive control (MPC) theory to deal with constraints and we design MPC algorithms and fast MPC solvers for complex systems (highly nonlinear, hybrid, uncertain or large-scale interconnected systems). We research flexible control Lyapunov functions to enforce stability for real-time controllers. To increase autonomy and reliability of control systems we focus on integration of artificial intelligence (neural networks) with classical and predictive controllers.

Meet some of our Researchers

University Researcher

Duo Xu

果冻传媒/Research Officer

Victor Reyes Dreke

Associate Professor

Mircea Lazar

Doctoral Candidate-TA

Thomas de Jong

Recent Publications

Our most recent peer reviewed publications

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