Title :
Control Law Proposition for the Stabilization of Discrete Takagi–Sugeno Models
Author :
Guerra, Thierry Marie ; Kruszewski, Alexandre ; Bernal, Miguel
Author_Institution :
Lab. d´´Autom. et de Mec. Industrielles et Humaines, Univ. of Valenciennes Hainaut-Cambresis, Valenciennes
fDate :
6/1/2009 12:00:00 AM
Abstract :
This paper deals with the stabilization of a class of discrete nonlinear models, namely those in the Takagi-Sugeno form; its main goal is to reduce conservatism of existing stabilization conditions using a special class of candidate Lyapunov functions and an enhanced control law. It is shown that the use of the aforementioned Lyapunov function leads to less-pessimistic solutions. The usefulness of the new control law is shown through several examples.
Keywords :
Lyapunov methods; discrete systems; fuzzy control; nonlinear control systems; stability; candidate Lyapunov function; control law proposition; discrete Takagi-Sugeno model; discrete nonlinear model; stabilization; Linear Matrix Inequalities (LMI); Linear matrix inequalities (LMI); Lyanupov functional; Lyapunov functional; Stabilization; Takagi–Sugeno discrete models; Takagi-Sugeno Discrete models; stabilization;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2008.928602