Adaptive intelligent control of MIMO nonlinear systems based on generalized fuzzy neural network

This paper presents a robust adaptive fuzzy neural controller (AFNC) suitable for control of uncertain multi-input-multi-output (MIMO) nonlinear systems. The proposed controller has the following salient features: (1) self-organizing fuzzy neural structure, (2) fast online learning ability of uncertain MIMO nonlinear systems; and (3) adaptive robust control. Two simulation examples are used to demonstrate excellent performance of the proposed controller.