DocumentCode
2855993
Title
Fuzzy regulators and fuzzy observers: a linear matrix inequality approach
Author
Tanaka, Kazuo ; Wang, Hua O.
Author_Institution
Dept. of Human & Mech. Syst. Eng., Kanazawa Univ., Japan
Volume
2
fYear
1997
fDate
10-12 Dec 1997
Firstpage
1315
Abstract
This paper presents LMI (linear matrix inequality) based designs of fuzzy control systems based on new relaxed stability conditions. LMI based design procedures for fuzzy regulators and fuzzy observers are constructed using the parallel distributed compensation and the relaxed stability conditions. The design procedures realize effective and practical designs by utilizing other LMIs with respect to decay rate and constraints on control input and output. A design example for a nonlinear system demonstrates the utility of the LMI based design procedures
Keywords
control system synthesis; fuzzy control; matrix algebra; observers; stability; LMI; fuzzy control system design; fuzzy observers; fuzzy regulators; linear matrix inequality; nonlinear system; parallel distributed compensation; relaxed stability conditions; Feedback; Fuzzy control; Fuzzy sets; Fuzzy systems; Input variables; Linear matrix inequalities; Nonlinear systems; Regulators; Stability; Takagi-Sugeno model;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.657640
Filename
657640
Link To Document