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
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;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.657640