Constrained Control of Complex Systems

  • Groene Loper 19, Flux

    5612 AP Eindhoven

    Netherlands

  • P.O. Box 513, Department of Electrical Engineering

    5600 M Eindhoven

    Netherlands

Organization profile

Introduction / mission

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.

Organisational 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.

The methods developed by the C3S Lab have been applied in automotive (distributed MPC for platooning, predictive fuel efficiency optimization), energy (distributed control of power systems, constrained control of power converters, predictive temperature control in smart buildings), mechatronics (fast nonlinear MPC for coreless linear motors, Lyapunov control of permanent magnet synchronous machines), robotics (predictive path planning and trajectory tracking for a LEGO robot) and biological systems (stability analysis and switching control therapies for cancer and HPA dynamical models).

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    Projects

    Research Output

    Efficient move blocking strategy for multiple shooting-based non-linear model predictive control

    Chen, Y., Scarabottolo, N., Bruschetta, M. & Beghi, A., Feb 2020, In : IET Control Theory & Applications. 14, 2, p. 343-351 9 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  • Stability Analysis of Thermodynamic Systems: Heat Conduction in Solids

    Lou, D. & Weiland, S., 2020, (Accepted/In press).

    Research output: Contribution to conferencePaperAcademic

    A computationally efficient model predictive control scheme for space debris rendezvous

    Larsén, A. K., Chen, Y., Bruschetta, M., Carli, R., Cenedese, A., Varagnolo, D. & Felicetti, L., Oct 2019, In : IFAC-PapersOnLine. 52, 12, p. 103-110 8 p.

    Research output: Contribution to journalConference articleAcademicpeer-review

    Open Access
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    Press / Media

    Student theses

    Adaptive friction compensation for an industrial coreless linear motor setup

    Author: van den Boom, P., 13 Dec 2018

    Supervisor: Nguyen, T. (Supervisor 1), Lazar, M. (Supervisor 2) & Butler, H. (Supervisor 2)

    Student thesis: Master

    A fast nonlinear MPC solver for real-time control of linear motors

    Author: Riera Segui, A., 2018

    Supervisor: Lazar, M. (Supervisor 1) & Nguyen, T. (Supervisor 2)

    Student thesis: Master

    Centralized and distributed identified model based predictive control for Museum Hermitage Amsterdam

    Author: Chen, X., 22 Mar 2019

    Supervisor: Lazar, M. (Supervisor 1), Ludlage, J. (Supervisor 2), Van den Hof, P. (Supervisor 2) & Lefeber, E. (Supervisor 2)

    Student thesis: Master