Design of fuzzy state controllers and observers

Author

Kang, Geuntaek ; Lee, Wonchang

Author_Institution

Dept. of Electron. Eng., Nat. Fisheries Univ. of Pusan, South Korea

Volume

3

fYear

1995

fDate

20-24 Mar 1995

Firstpage

1355

Abstract

This paper suggests methods for designing fuzzy state controllers and fuzzy state observers based on Takagi-Sukeno-Kang (TSK) fuzzy models (Takagi and Sukeno, 1985; Sukeno and Kang, 1988) which approximate complicated nonlinear systems to any degree of accuracy. First, a designing method of fuzzy state controllers, guaranteeing that the poles of the fuzzy control systems with fuzzy state controllers are to be desired ones, is suggested. Next, a designing method of fuzzy state observers, guaranteeing that the dynamics of state error vector have the desired poles, is suggested. Finally, fuzzy control systems with fuzzy state controllers and observers are constructed and it is showed that the so-called separation property of the observer-controller design procedure is satisfied

Keywords

control system synthesis; fuzzy control; nonlinear control systems; observers; poles and zeros; TSK fuzzy models; Takagi-Sukeno-Kang fuzzy models; complicated nonlinear system approximation; fuzzy state controller design; fuzzy state observer design; observer-controller design procedure; poles; separation property; Aquaculture; Automatic control; Control systems; Design methodology; Fuzzy control; Fuzzy sets; Fuzzy systems; Regulators; Stability analysis; State feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int

Conference_Location

Yokohama

Print_ISBN

0-7803-2461-7

Type

conf

DOI

10.1109/FUZZY.1995.409857

Filename

409857