Decentralized adaptive fuzzy controller design of large-scale nonlinear systems with unmatched uncertainties

Abstract

Based on the combination of sliding mode control with fuzzy control and simple adaptation laws, the paper presents a feasible design algorithm to synthesize a decentralized adaptive fuzzy sliding-mode controller which can easily tackle the output tracking control problem of large-scale nonlinear uncertain systems in the presence of higher-order and unmatched uncertainties without the knowledge of the upper bounds on the norm of the uncertainties. A series of computer simulations are included to verify the validity of the proposed design algorithm.