ADAPTIVE FUZZY NEURAL CONTROL OF NONLINEAR SYSTEMS

摘要

This paper presents a robust Adaptive Fuzzy Neural Controller (AFNC) suitable for identification and 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; (3) Adaptive robust control. Simulation studies on a two-link robot manipulator show that the performance of the proposed controller is excellent.