Robust adaptive fuzzy control of uncertain nonholonomic systems

Abstract

We present an adaptive fuzzy controller design for a class of uncertain nonholonomic systems in the perturbed chained form with unknown virtual control coefficients and strong drift nonlinearities. The robust adaptive fuzzy control laws are developed using state scaling and backstepping. Uniform ultimate boundedness of all the signals in the closed-loop are guaranteed, and the system states are proven to converge to a small neighborhood of zero. The control performance of the closed-loop system is guaranteed by appropriately choosing the design parameters. By using fuzzy logic approximation, the proposed control is free of control singularity problem. An adaptive control based switching strategy is proposed to over the uncontrollability problem associated with x/sub 0/(t/sub 0/) = 0.