Intelligent controller using CMACs with self-organized structure and its application for a process system

Author

Yamamoto, Toru ; Yanagino, Hideki ; Kaneda, Masahiro

Author_Institution

Dept. of Commun. Eng., Okayama Prefectural Univ., Japan

Volume

1

fYear

1997

fDate

12-15 Oct 1997

Firstpage

76

Abstract

Cerebellar model articulation controller (CMAC) has been proposed as one of artificial neural networks. This paper describes a design scheme of intelligent control system consisting of some CMACs. Each CMAC is trained for the specified command signal. A new CMAC is generated for unspecified command signals, and the CMAC whose command signal is nearest for the new command signal, is eliminated. Therefore, since the command signals are removed from the input signals of the CMAC, the proposed intelligent controller can be designed with relatively small memories

Keywords

cerebellar model arithmetic computers; control system synthesis; intelligent control; self-adjusting systems; self-organising feature maps; CMAC; artificial neural networks; cerebellar model articulation controller; intelligent control system design; process system; self-organized structure; Biological neural networks; Communication system control; Control systems; Error correction; Intelligent networks; Intelligent structures; Pressure control; Sense organs; Signal design; Signal generators;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.625726

Filename

625726