Title :
Exponential stability of discrete-time takagi-suceno fuzzy systems
Author :
Ustoglu, I. ; Yesil, E. ; Guzelkaya, M. ; Eksin, Ibrahim
Author_Institution :
Control Engineering Division, Faculty of Electrical and Electronics Engineering, Istanbul Technical University, Istanbul, Turkey
fDate :
June 28 2004-July 1 2004
Abstract :
Takagi-Sugeno (T-S) fuzzy models are usually used to describe nonlinear systems by a set of IF-THEN rules that gives local linear representations of subsystems. The overall model of the system is then formed as a fuzzy blending of these subsystems. It is important to study their stability or the synthesis of stabilizing controllers. The stability of TS models has been derived by means of several methods: Lyapunov approach, switching systems theory, linear system with modeling uncertainties, etc. In this study, the exponential stability of a discrete time TS model is examined. The subsystems of TS models that is studied here are time varying and new exponential stability theorem is given for these types of TS models by examining the existence of a common matrix sequence. Moreover, a pointwise-in-time eigenvalue condition for exponential stability based on Rayleigh-Ritz inequality is presented.
Keywords :
Asymptotic stability; Equations; Fuzzy control; Fuzzy systems; H infinity control; Large Hadron Collider; Linear matrix inequalities; Lyapunov method; Stability analysis; Takagi-Sugeno fuzzy systems; exponential stability; time varying systems;
Conference_Titel :
Automation Congress, 2004. Proceedings. World
Conference_Location :
Seville
Print_ISBN :
1-889335-21-5