On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems

Author

Leu, Yih-Guang ; Lee, Tsu-Tian ; Wang, Wei-Yen

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan

Volume

27

Issue

6

fYear

1997

fDate

12/1/1997 12:00:00 AM

Firstpage

1034

Lastpage

1043

Abstract

The adaptive fuzzy-neural controllers tuned online for a class of unknown nonlinear dynamical systems are proposed. To approximate the unknown nonlinear dynamical systems, the fuzzy-neural approximator is established. Furthermore, the control law and update law to tune on-line both the B-spline membership functions and the weighting factors of the adaptive fuzzy-neural controller are derived. Therefore, the control performance of the controller is improved. Several examples are simulated in order to confirm the effectiveness and applicability of the proposed methods in this paper

Keywords

adaptive control; controllers; fuzzy control; fuzzy neural nets; nonlinear dynamical systems; tuning; B-spline membership functions; adaptive control; control law; fuzzy-neural approximator; fuzzy-neural network; nonlinear dynamical systems; online tuning; weighting factors; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control; Spline;

fLanguage

English

Journal_Title

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

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/3477.650065

Filename

650065