Integrated structure design for CMAC-based fuzzy logic controller

Fuzzy logic controller (FLC) is a very effective technique for complicated control processes and easily approximates well under some ill-defined environments. However, the knowledge base that human experts build is the most important factor to the performance of the FLC. To enhance the performance of FLC, we adopt the cerebellar model arithmetic controller to reduce the error of the FLC in control application. Simulation results show that the proposed structure is better than the ill-defined FLC.