Application research of adaptive fuzzy neural controller for MIMO system

A fuzzy adaptive control is proposed for MIMO system. For a complex system, because its fuzzy rules are too much and the time of founding rules increases exponentially with the increase in the number of rules, a fuzzy-neural adaptive control is proposed for MIMO nonlinear system. The control scheme of “full approximation” is used in the controller design. The output feedback control law and parameter adaptive law are derived by Lyaponov function approach. The simulation results show that the closed-loop system is stable and the tracking error is convergence.