Robust Adaptive Fuzzy Output Control for Nonlinear Uncertain Systems

Abstract

In this paper, a robust adaptive fuzzy output con- trol scheme for a class of nonlinear systems with uncertainty is proposed. The controller design is based on a novel fuzzy model, which is called the generalized fuzzy hyperbolic model (GFHM) and which does not need the availability of state variables. By designing an observer to estimate the states, the robust adaptive fuzzy output feedback control scheme is realized. Based on the Lyapunov stability theorem, the control system can guarantee that the tracking error converges to a small neighborhood of the origin. Simulation results confirm that the present control algorithms are feasible for practical applications.