A fuzzy-neural controller for nonlinear dynamic systems

Author

El-Kabbany, G.F. ; Sultan, M.A. ; Hegazi, N.E.

Author_Institution

Electron. Res. Inst., Giza, Egypt

Volume

3

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

1695

Abstract

This paper discusses the possibility of combining the concept of indirect adaptive control and fuzzy logic control with backpropagation neural networks to control nonlinear dynamic systems. Here the neural network was used as an identifier, the indirect adaptive control concept was applied to control the system, and finally the fuzzy logic control technique was used to improve the controller performance. Simulation results show the application of the control scheme to two nonlinear systems of different types of nonlinearity

Keywords

adaptive control; backpropagation; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; backpropagation neural networks; fuzzy logic control; fuzzy-neural controller; identifier; indirect adaptive control; nonlinear dynamic systems; Adaptive control; Artificial neural networks; Automatic control; Communication system control; Control systems; Fuzzy logic; Linear systems; Neural networks; Nonlinear control systems; Nonlinear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374412

Filename

374412