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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.



News
Workshop4th Grenoble Workshop on Autonomic Computing and Control - GIPSA-lab, 17-23 octobre 2017

The 4th Grenoble Workshop on Autonomic Computing and Control will be held in GIPSA-lab from tuesday 17 to monday 23 October, 2017. The goal of this workshop is to exchange experiences and views on the combination of Control Theory and Computer Science to solve the problems arising when designing self-adaptive, autonomic computing systems. Participants are joining competences from the two main areas.

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Latest publications of team

Local Exponential Stabilization of Semi-Linear Hyperbolic Systems by Means of a Boundary Feedback Control

Liguo Zhang, Christophe Prieur, Junfei Qiao. Local Exponential Stabilization of Semi-Linear Hyperbolic Systems by Means of a Boundary Feedback Control. IEEE Control Systems Letters, IEEE, 2018, 2 (1), pp.55-60. 〈10.1109/LCSYS.2017.2724141〉. 〈hal-01575511〉

Hybrid Robust Minimum-time Control for a Class of Non-Exponentially Unstable Planar Systems

Francesco Ferrante, Ricardo Sanfelice. Hybrid Robust Minimum-time Control for a Class of Non-Exponentially Unstable Planar Systems. IEEE Control and Decision Conference, Dec 2017, Melbourne, Australia. 〈hal-01593070〉

PULP: Achieving Privacy and Utility Trade-off in User Mobility Data

Sophie Cerf, Vincent Primault, Antoine Boutet, Sonia Ben Mokhtar, Robert Birke, et al.. PULP: Achieving Privacy and Utility Trade-off in User Mobility Data. SRDS 2017 - 36th IEEE International Symposium on Reliable Distributed Systems, Sep 2017, Hong Kong, Hong Kong SAR China. 36th IEEE International Symposium on Reliable Distributed Systems, 2017, 〈http://srds2017.comp.polyu.edu.hk/index.html〉. 〈hal-01578635〉


All publications of team
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