Fuzzy and neural controllers for dynamic systems: an overview

Author

Dash, P.K. ; Panda, S.K. ; Lee, T.H. ; Xu, J.X. ; Routray, A.

Author_Institution

Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore

Volume

2

fYear

1997

fDate

26-29 May 1997

Firstpage

810

Abstract

In this paper various trends in the area of intelligent control have been discussed. A brief account of the available control structures employing fuzzy logic and neural networks have been given. Some of these controller modules and their modified forms have been tested by the authors over a period of time on different systems. Some of them have been discussed and the results have been presented

Keywords

control system analysis; fuzzy control; intelligent control; model reference adaptive control systems; neurocontrollers; optimal control; predictive control; self-adjusting systems; variable structure systems; adaptive linear control; adaptive network based fuzzy inference systems; direct inverse control; dynamic systems; fuzzy PI control; fuzzy adaptive controller; fuzzy controllers; fuzzy logic; fuzzy model following controller; fuzzy sliding mode controller; gain scheduling; hierarchical fuzzy controller; hybrid fuzzy controller; indirect fuzzy control; intelligent control; internal model control; model reference control; neural controllers; neural networks; neuro fuzzy controller; optimal decision control; predictive control; reinforcement learning control; self organising controller; self tuning neuro fuzzy controller; supervised control; Adaptive control; Artificial neural networks; Control systems; Decision making; Fuzzy control; Fuzzy logic; Fuzzy systems; Knowledge based systems; Knowledge representation; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Drive Systems, 1997. Proceedings., 1997 International Conference on

Print_ISBN

0-7803-3773-5

Type

conf

DOI

10.1109/PEDS.1997.627490

Filename

627490