Fuzzy adaptive decentralized control for nonlinear systems with unknown high-frequency gain sign based on k- filter

Author

Liu, Changliang ; Tong, Shaocheng

Author_Institution

Liaoning Univ. of Technol., Jinzhou, China

fYear

2010

fDate

26-28 May 2010

Firstpage

1576

Lastpage

1581

Abstract

In this paper, a fuzzy adaptive decentralized control approach is proposed for a class of large-scale nonlinear systems with unknown high-frequency gain sign, unknown nonlinearities, and the output measurement. In the backstepping recursive design, fuzzy logic systems are employed to approximate the unknown nonlinear function, and Nussbaum gain technique is taken to solve the unknown high-frequency gain sign. It is proved that the proposed fuzzy adaptive decentralized control scheme can guarantee that all the signals in the closed-loop system are uniformly ultimately bounded(UUB). Simulation results have shown the effectiveness of the proposed method.

Keywords

adaptive control; closed loop systems; decentralised control; filtering theory; fuzzy control; large-scale systems; nonlinear control systems; recursive estimation; K-filter; Nussbaum gain technique; backstepping recursive design; closed loop system; fuzzy adaptive decentralized control; fuzzy logic systems; large scale nonlinear system; uniformly ultimately bounded; unknown high frequency gain sign; unknown nonlinear function; unknown nonlinearities; Adaptive control; Adaptive filters; Backstepping; Distributed control; Fuzzy control; Fuzzy systems; Gain measurement; Large-scale systems; Nonlinear systems; Programmable control; Backstepping; Fuzzy Adaptive Decentralized Control; High-frequency Gain; K- filter; Large-scale Nonlinear Systems; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498286

Filename

5498286