Multimode fuzzy-CMAC intelligent controller

Proposes a combined controller structure and algorithm which integrates a cerebellar model articulation controller (CMAC) with fuzzy logic and bang-bang control under an intelligent supervisor. This neuro-fuzzy controller has self-learning ability in real-time and can readily be applied to industrial process plants. The numerical results of simulation studies, which demonstrate the benefit and feasibility of the proposed algorithm, are presented.