Title :
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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.625726
