Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems

Author

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

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

29

Issue

5

fYear

1999

fDate

10/1/1999 12:00:00 AM

Firstpage

583

Lastpage

591

Abstract

In this paper, an observer-based adaptive fuzzy-neural controller for a class of unknown nonlinear dynamical systems is developed. The observer-based output feedback control law and update law to tune on-line the weighting factors of the adaptive fuzzy-neural controller are derived. The total states of the nonlinear system are not assumed to be available for measurement. Also, the unknown nonlinearities of the nonlinear dynamical systems are not restricted to the system output only. The overall adaptive scheme guarantees that all signals involved are bounded. Simulation results demonstrate the applicability of the proposed method in order to achieve desired performance

Keywords

adaptive control; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear dynamical systems; adaptive; fuzzy-neural controller; nonlinear dynamical systems; nonlinear system; observer-based; Adaptive control; Control nonlinearities; Control systems; Fuzzy logic; Neural networks; Neurofeedback; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control;

fLanguage

English

Journal_Title

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

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/3477.790441

Filename

790441