Synthesis of fuzzy control systems with desired performance

Author

Zhao, J. ; Gorez, R. ; Wertz, V.

Author_Institution

Centre for Syst. Eng. & Appl. Mech., Univ. Catholique de Louvain, Belgium

fYear

1996

fDate

15-18 Sep 1996

Firstpage

115

Lastpage

120

Abstract

Fuzzy controllers can be derived from fuzzy models of the process to be controlled, by means of a systematic synthesis approach. The resulting fuzzy control systems have the guaranteed stability and the desired performance. As a result, this approach is superior to other fuzzy controller synthesis techniques where achieving the desired control performances is performed by trial-and-errors. First, it is shown that linear matrix inequality methods allow the design of fuzzy state-feedback controllers for stabilizing a system described by the linear Takagi-Sugeno fuzzy model. Next, the design requirements and desired performances of the control systems should be considered in addition to stability

Keywords

Lyapunov methods; control system synthesis; fuzzy control; matrix algebra; robust control; state feedback; control system synthesis; fuzzy control; fuzzy models; fuzzy state-feedback; guaranteed stability; linear Takagi-Sugeno fuzzy model; linear matrix inequality; quadratic Lyapunov function; Control system synthesis; Design methodology; Fuzzy control; Fuzzy sets; Fuzzy systems; Linear matrix inequalities; Process control; Robust control; Robust stability; Takagi-Sugeno model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on

Conference_Location

Dearborn, MI

ISSN

2158-9860

Print_ISBN

0-7803-2978-3

Type

conf

DOI

10.1109/ISIC.1996.556187

Filename

556187