Robust decentralized adaptive fuzzy control for a class of large-scale MIMO nonlinear systems

SUMMARY In this paper, a novel decentralized robust adaptive fuzzy control scheme is proposed for a class of large-scale multiple-input multiple-output uncertain nonlinear systems. By virtue of fuzzy logic systems and the regularized inverse matrix, the decentralized robust indirect adaptive fuzzy controller is developed such that the controller singularity problem is addressed under a united design framework; no a priori knowledge of the bounds on lumped uncertainties are being required. The closed-loop large-scale system is proved to be asymptotically stable. Simulation results confirmed the validity of the approach presented. Copyright © 2011 John Wiley & Sons, Ltd.