A new approach to improving a CMAC architecture

A novel design of cerebellar model articular controller (CMAC) is presented in this article. The controller is designed by means of a content addressable memory (CAM) to replace a hash-coding function, which is adopted by generic CMACs to tackle memory space problem how a large space maps into a small one. The CAM, with capability of fast comparison, is used to determine if any of CAM´s content is identical to current conceptual address in parallel. The control noises caused by hash-coding methods can be attenuated significantly in either the training or the recall phases in the proposed architecture. Furthermore, instead of storing the information by scattering it over the memory, the proposed architecture sequentially stores the information by an index pointer to increase the memory utilization. Simulation results demonstrate the plausible performance of the proposed CMAC architecture. The architecture for the proposed controller is also discussed.