A fuzzy basis function vector-based multivariable adaptive controller for nonlinear systems

Author

Huaguang, Zhang ; Cai, Lilong ; Bien, Zeungnam

Author_Institution

Dept. of Autom. Control, Northeastern Univ., Shenyang, China

Volume

30

Issue

1

fYear

2000

fDate

2/1/2000 12:00:00 AM

Firstpage

210

Lastpage

217

Abstract

In this paper, a new fuzzy basis function vector (FBFV) approach for the adaptive control of multivariable nonlinear systems is presented. With this method, the nonlinear plant is first linearized. The linearized bias and uncertainties as well as disturbances are assumed to be included in the model structure and their upper bound will be adaptively learned by the FBFV method. The output of the FBFV is used as the parameters of the robust controller in the sense that both the robustness and the asymptotic error convergence can be obtained for the multivariable nonlinear system. The effectiveness of the proposed analysis and design method is illustrated with a simulated example

Keywords

adaptive control; fuzzy control; multivariable control systems; nonlinear control systems; asymptotic error convergence; fuzzy basis function vector-based multivariable adaptive controller; multivariable nonlinear systems; nonlinear systems; robustness; uncertainties; upper bound; Adaptive control; Control systems; Error correction; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Robust control; Uncertainty; Upper bound;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/3477.826963

Filename

826963