Fuzzy adaptive DBF neural identification and application for MIMO nonlinear system

This paper presents a robust adaptive fuzzy direction basis function neural controller (AFDBFNC) suitable for identification based on direction basis function. The proposed controller has the following salient features: (1) self-organizing fuzzy neural structure; (2) online learning ability of nonlinear systems; (3) fast learning speed; (4) adaptive control. Simulation example is included to confirm the validity and performance of the proposed control algorithm.