A High-Order Fuzzy CMAC Adaptive Control and its Application
一种高阶模糊CMAC自适应控制及其应用

This paper presents a High-Order Fuzzy CMAC adaptive control, using the fuzzy subset to partition input state spaces, employing the multi-layer quantification to quantify input states, and utilizing the algebraic product and algebraic sum to integrate the result of multi-layer quantification. The controller has better capability of generalization than the ordinary CMAC. Due to the use of multi-layer quantification, the controller has better control performance than that simply based on the generalized basic function fuzzy CMAC. Temperature control experiments on an industrial furnace prove the effectiveness of the proposed method.