Mohammed CHADLI (PR Univ. Évry IBISC équipe SIAM) s’implique dans l’organisation de la conférence ICSRT 2021, en tant que « Program Co-Chair » et que « Keynote speaker« .
La conférence ICSRT 2021 (4th International Conference on Service Robotics Technologies) a lieu à Chengdu, Chine, du 5 au 7 mars 2021.
Keynote de Mohammed CHADLI
Titre : Observer-based Fault Detection in Takagi-Sugeno Fuzzy Systems: Multi-Objective and Frequency Domain Approaches
Interest in the problem of fault detection and isolation of industrial processes has been greatly increased in recent years as most of the systems we face in practice are nonlinear in nature. Among these approaches, the Takagi-Sugeno (T-S) approach has enjoyed considerable success due to its ability to represent a large class of non-linear systems and the use of numerical tools (convex optimisation) for the resolution of various problem design. This keynote proposes some results of fault detection filter synthesis for T-S systems under unknown inputs influence. Indeed, observer-based LMI synthesis methods for T-S systems subjected to unknown inputs and disturbances are presented. Moreover, multi-objective synthesis problem is discussed in FDI framework. When we are interested in these problems in finite frequency domains (FFD), i.e. in frequency ranges of the fault and unknown perturbations known in advance and belonging to finite frequency bands, these classic techniques (in infinite frequency domains) become quite restrictive. Indeed, the problem of multiobjective synthesis in the finite frequency domain is addressed. In a fault diagnosis context, the generated residue must be as sensitive as possible to faults and as robust as possible against unknown perturbations by means of two finite frequency performance indices such as the H_ and H∞ indexes. Based on the Kalman-Yakubovich-Popov generalized lemma (GKYP), LMI techniques and the Lyapunov method, some design conditions will be presented and discussed.