Analysis and design of fuzzy controller based on observer

Author

Yiqian, Tang ; Shaocheng, Tong

Author_Institution

Postgrad. Sch., Liaoning Inst. of Technol., Jinzhou, China

Volume

3

fYear

2000

fDate

2000

Firstpage

1813

Abstract

This paper presents stability for a class of uncertain discrete-time nonlinear systems and a method for designing robust fuzzy observer and fuzzy controller to stabilize the uncertain nonlinear systems whose states are unobservable. To design fuzzy observer and fuzzy controller, uncertain nonlinear systems are represented by Takagi-Sugeno (T-S) fuzzy models (1992) with uncertainty. The concept of parallel and distributed compensation is employed to design fuzzy robust observer and fuzzy robust controller from T-S fuzzy models. Stability conditions are derived from quadratic stabilization and linear matrix inequality (LMI)

Keywords

compensation; control system synthesis; discrete time systems; fuzzy control; matrix algebra; nonlinear control systems; observers; robust control; stability criteria; LMI; T-S fuzzy models; Takagi-Sugeno fuzzy models; fuzzy controller analysis; fuzzy controller design; fuzzy robust controller; linear matrix inequality; parallel compensation; quadratic stabilization; robust fuzzy observer; stability conditions; uncertain discrete-time nonlinear systems; unobservable states; Control system synthesis; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Robust control; Robust stability; Takagi-Sugeno model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on

Conference_Location

Hefei

Print_ISBN

0-7803-5995-X

Type

conf

DOI

10.1109/WCICA.2000.862787

Filename

862787