Global Adaptive Output Feedback Tracking for a Class of Nonlinear Systems with Quantized Input

Abstract In this paper, we consider the quantized control of a class of nonlinear systems whose nonlinear functions satisfy more general growth conditions. Based on a reduced-order observer and a dynamic gain, an adaptive output feedback tracking controller is designed. It is proved that by suitably choosing design parameters and functions, the tracking error can converge to an arbitrarily small residual set while all the other signals of the closed-loop system are bounded.