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Cerebellar model articulation controller (CMAC) has been already validated that it can approximate a nonlinear function over a domain of interest to any desired accuracy. This paper proposes an adaptive CMAC (PIACMAC) system with a PI-type learning algorithm. The PIACMAC system is composed of a CMAC and a compensation controller. CMAC is used to mimic an ideal controller and the compensation controller...
This paper develops an intelligent robust control algorithm for a class of uncertain nonlinear multivariable systems. The proposed control algorithm consists of an adaptive recurrent cerebellar-model-articulation-controller (RCMAC) and a robust controller. Based on the Hinfin control approach, the robust controller is designed to suppress the residual of approximation error between ideal controller...
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