Robust controller design for a class of complex system based on two-step approximation with fuzzy logical system

Author

Wenqing, Wang ; Jianhong, Wu

Author_Institution

Syst. Eng. Inst., Xi´´an Univ. of Post & Telecommun., Xi´´an, China

fYear

2009

fDate

17-19 June 2009

Firstpage

4206

Lastpage

4211

Abstract

Based on fuzzy logical system, a novel nonlinear robust adaptive control scheme is presented for a class of complex systems with uncertainties. The two-step approximation method is proposed to approximate uncertainties with fuzzy logical system, which is able to reduce the complexity of designing fuzzy logical system and circumvent the curse of dimensionality problem to a certain extent. A robust adaptive controller is designed using the Lyapunov theory, which is able to ensure both the states and the parameter estimate errors uniformly ultimately bounded (UUB). Our method is verified effectively by applying to inverted pendulum system.

Keywords

control system synthesis; fuzzy control; large-scale systems; nonlinear control systems; robust control; uncertain systems; complex system; curse of dimensionality problem; fuzzy logical system; inverted pendulum system; nonlinear robust adaptive control; robust controller design; two-step approximation; uniformly ultimately bounded; Adaptive control; Approximation methods; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Parameter estimation; Programmable control; Robust control; Uncertainty; Complex system; Fuzzy system; Robust control; Two-step approximation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5192389

Filename

5192389