CMAC neural network fuzzy control

This paper proposes a new method of CMAC neural network fuzzy control technique by combining the advantages of CMAC neural networks and fuzzy control. The study focuses mainly on the control algorithm for the realization of the control method and training method of the neural network. Finally, the authors apply this new method for the control of a two degree of freedom robot hand. From the simulation and experimental results, it was proved that the method described can realize an online (real-time) control of a high-response servomechanism.