Title :
State and parameter estimation for nonlinear systems: A Takagi-Sugeno approach
Author :
Bezzaoucha, Souad ; Marx, Benoit ; Maquin, Didier ; Ragot, Jose
Author_Institution :
CRAN, Univ. de Lorraine, Vandoeuvre-lès-Nancy, France
Abstract :
The main contribution of this paper is to propose a systematic approach to observer design for Takagi-Sugeno (T-S) time-varying systems. The proposed procedure is based on the sector nonlinearity approach using the convex polytopic transformation. The exact writing of the time-varying nonlinear system as a T-S model allows to provide a state and parameter estimation.
Keywords :
convex programming; fuzzy control; nonlinear systems; observers; parameter estimation; time-varying systems; Takagi-Sugeno time-varying system; convex polytopic transformation; observer design; parameter estimation; sector nonlinearity approach; state estimation; time-varying nonlinear system; Bismuth; Equations; Mathematical model; Nonlinear systems; Observers; Parameter estimation; Time-varying systems; Takagi-Sugeno models; Time-varying nonlinear systems; convex polytopic transformation; linear matrix inequality; sector nonlinearity approach; state and parameter observer;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6579975
