Title :
Global stability condition of fuzzy model-based controllers via evolutionary computation
Author :
Udawatta, Lanka ; Watanabe, Keigo ; Kiguchi, Kazuo ; Izumi, Kiyotaka
Author_Institution :
Graduate Sch. of Sci. & Eng., Saga Univ., Japan
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper presents a new concept for solving fuzzy controller stability problems on matrix inequalities via evolutionary computation (EC). The gain scheduling problem of a multi-model fuzzy system, which satisfies the Lyapunov stability criteria, is solved. The generalized eigenvalue problem can be directly introduced into EC in searching positive definite or positive semi-definite matrices, by making a penalty for an individual, that violates the inequality condition in order to solve the nonlinear constraints or linear matrix inequalities. Examples are given to illustrate the effectiveness of the proposed methodology
Keywords :
Lyapunov methods; eigenvalues and eigenfunctions; fuzzy control; genetic algorithms; matrix algebra; stability; Lyapunov method; eigenvalues; evolutionary computation; fuzzy control; gain scheduling; linear matrix inequality; model based control; positive definite matrix; positive semidefinite matrix; stability; Eigenvalues and eigenfunctions; Evolutionary computation; Fuzzy control; Fuzzy logic; Fuzzy systems; Linear matrix inequalities; Nonlinear control systems; Processor scheduling; Regulators; Stability;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1004993