Constrained Control of Complex Systems

  • Groene Loper 19, Flux

    5612 AP Eindhoven


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

    5600 M Eindhoven


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).

Fingerprint Dive into the research topics where Constrained Control of Complex Systems is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Lyapunov functions Engineering & Materials Science
Model predictive control Engineering & Materials Science
Controllers Engineering & Materials Science
Stabilization Engineering & Materials Science
Linear systems Engineering & Materials Science
Nonlinear systems Engineering & Materials Science
Linear motors Engineering & Materials Science
State feedback Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2020

An efficient move blocking strategy for multiple shooting based nonlinear 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

Multiple Shooting
Nonlinear Model Predictive Control
Model predictive control
Optimal Control Problem

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., 2019, In : IFAC-PapersOnLine. 52, 12, p. 103-110 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Space debris
Model predictive control
Fuel consumption

A nonlinear model predictive control based virtual driver for high performance driving

Bruschetta, M., Picotti, E., Mion, E., Chen, Y., Beghi, A. & Minen, D., 5 Dec 2019, 2019 IEEE Conference on Control Technology and Applications (CCTA). Piscataway: Institute of Electrical and Electronics Engineers, p. 9-14

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Model predictive control
Vehicle wheels
Railroad cars
Virtual prototyping

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