José Ragot

TL;DR: In this paper, a presentation montre comment decrire des modeles a parametres incertains and bornes, comment les utiliser pour la validation de donnees and, en particulier, comment estimer l'etat d'un systeme decrit par un modele statique lineaire.

Abstract: This paper deals with Fault Tolerant Control design for continuous nonlinear Takagi-Sugeno faulty systems. The goal is to ensure both state and fault estimation and the state reference tracking even if faults occur. In this study, the faults affecting the system behavior are considered as time varying functions modeled by exponential functions or first order polynomials. Based on descriptor redundancy property, solutions are proposed for both cases, exponential and polynomial faults, in terms of Linear Matrix Inequalities (LMI). In order to illustrate the applicability and the effectiveness of the proposed approaches, numerical examples are considered.

TL;DR: Subspace identification of switching model is considered in this article, where the switching model was supposed to be a sum of weighted linear models and the method established uses recursive subspace identification to estimate the switching function and least squares method for local model Markov parameters estimation.

TL;DR: In this article, the main devices necessary for control in the mineral processing industries are presented and the authors outline the problems encountered when modeling such systems, and the principal control modes currently used are proposed as examples (feedforward and feedback control).

TL;DR: This work adapts the existing literature on continuous-time linear systems for joint state and time-varying parameter estimation on a class of nonlinear discrete-time systems that could be transformed into a quasi-LPV (linear parameter varying) polytopic model in the Takagi-Sugeno (T-S) form.