Decentralized adaptive fuzzy controller design of large-scale nonlinear systems with unmatched uncertainties

Author

Chiang, Chiang-Cheng ; Kuo, Zu-Hung

Author_Institution

Dept. of Electr. Eng., Tatung Univ., Taipei, China

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

668

Lastpage

673

Abstract

Based on the combination of sliding mode control with fuzzy control and simple adaptation laws, the paper presents a feasible design algorithm to synthesize a decentralized adaptive fuzzy sliding-mode controller which can easily tackle the output tracking control problem of large-scale nonlinear uncertain systems in the presence of higher-order and unmatched uncertainties without the knowledge of the upper bounds on the norm of the uncertainties. A series of computer simulations are included to verify the validity of the proposed design algorithm

Keywords

adaptive control; asymptotic stability; control system synthesis; decentralised control; fuzzy control; large-scale systems; nonlinear control systems; uncertain systems; variable structure systems; decentralized adaptive fuzzy controller design; higher-order uncertainties; large-scale nonlinear systems; output tracking control problem; sliding mode control; unmatched uncertainties; Adaptive control; Algorithm design and analysis; Control system synthesis; Fuzzy control; Fuzzy systems; Large-scale systems; Nonlinear control systems; Programmable control; Sliding mode control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7280-8

Type

conf

DOI

10.1109/FUZZ.2002.1005072

Filename

1005072