DocumentCode :
2267011
Title :
Stabilization of nonlinear systems based on type II fuzzy models
Author :
Taniguchi, Tadanari ; Sugeno, Michio
Author_Institution :
RIKEN, Brain Sci. Inst., Saitama, Japan
Volume :
3
fYear :
2003
fDate :
4-6 June 2003
Firstpage :
1920
Abstract :
This paper discusses the stabilization of nonlinear systems modeled by type II fuzzy systems. It first shows the canonical forms of type II fuzzy systems and the necessary and sufficient stability conditions. Next, it presents a design procedure of type II fuzzy controllers based on the stability conditions expressed by matrix inequalities. Some illustrative examples are shown.
Keywords :
Lyapunov methods; control system synthesis; controllers; fuzzy control; fuzzy systems; linear matrix inequalities; nonlinear systems; stability; Lyapunov function; canonical forms; fuzzy control; fuzzy models; fuzzy systems; matrix inequalities; necessary conditions; nonlinear system stabilization; stability; sufficient conditions; Brain modeling; Control systems; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Lyapunov method; Nonlinear systems; Partitioning algorithms; Stability analysis; State-space methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
ISSN :
0743-1619
Print_ISBN :
0-7803-7896-2
Type :
conf
DOI :
10.1109/ACC.2003.1243354
Filename :
1243354
Link To Document :
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