A Historical Review of Forty Years of Research on CMAC
It provides a historical overview for researchers in neural networks and control systems, but it is incremental as a review article.
This paper reviews the development of the Cerebellar Model Articulation Controller (CMAC) over forty years, highlighting its evolution into variants like Kernel-CMAC and its applications in fast, adaptive control.
The Cerebellar Model Articulation Controller (CMAC) is an influential brain-inspired computing model in many relevant fields. Since its inception in the 1970s, the model has been intensively studied and many variants of the prototype, such as Kernel-CMAC, Self-Organizing Map CMAC, and Linguistic CMAC, have been proposed. This review article focus on how the CMAC model is gradually developed and refined to meet the demand of fast, adaptive, and robust control. Two perspective, CMAC as a neural network and CMAC as a table look-up technique are presented. Three aspects of the model: the architecture, learning algorithms and applications are discussed. In the end, some potential future research directions on this model are suggested.