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

Cerebellar Model Articulation Controller (CMAC) has been proposed as one of artificial neural networks. This paper describes a design scheme of intell igent control system consists of some CMACs. Each of CMACs is trained for t he specified reference signal. A new CMAC is generated for unspecified refe rence signals, and the CMAC whose reference signal is nearest for the new r eference signal, is eliminated. Therefore, since the reference signals are removed from the input signals of the CMAC, the proposed intelligent contro ller can be designed with fairly small memories.