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Team

Systèmes non linéaires et complexité
Team manager : Gildas BESANÇON    Mirko FIACCHINI

SYSCO is a research group in control whose main fields of interest lie in nonlinear and complex systems, from both  theoretical and application points of view. This means that it cares about rigorous formal analysis and results, as well as effective applicability of the developed methodologies on real processes. In its studies, it explicitly takes into account model nonlinearities, but also an increasing complexity both in system descriptions (high dimensions, constraints, hybrid dynamics...) and in application requirements (industrial demands, environmental norms...).


SYSCO research mainly relies on nonlinear systems theory, observers, predictive control, optimization, Lyapunov methods, and focuses on  nonlinear models, infinite dimensional systems, discrete-event or hybrid systems. Its main applications of interest lie in the broad fields of energy, environment, processes, robotics, mechatronics, and extends to computers or health.




Last publications of team

Quadratic Optimal Control of Linear Complementarity Systems: First order necessary conditions and numerical analysisCommande optimale quadratique des Systèmes de Complémentarité Linéaire : conditions nécessaires du premier ordre, analyse numérique

Alexandre Vieira, Bernard Brogliato, Christophe Prieur. Quadratic Optimal Control of Linear Complementarity Systems: First order necessary conditions and numerical analysis. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TAC.2019.2945878⟩. ⟨hal-01690400v3⟩

On the Design of Structured Stabilizers for LTI Systems

Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi. On the Design of Structured Stabilizers for LTI Systems. 58th IEEE Conference on Decision and Control, Dec 2019, Nice, France. ⟨hal-02194179⟩

Dynamic Set-Inversion Procedure to Design Interval-Based State Estimators for Discrete-Time LPV Systems

Stefan Kerbs, Nacim Meslem, Sören Hohmann. Dynamic Set-Inversion Procedure to Design Interval-Based State Estimators for Discrete-Time LPV Systems. 58th IEEE Conference on Decision and Control, Dec 2019, Nice, France. pp.1-6. ⟨hal-02304429⟩


Voir toutes les publications de l'équipe dans HAL
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