Adaptive output feedback tracking for a class of nonlinear systems with quantized input and output

Abstract

AbstractIn this paper, an adaptive output feedback tracking for a class of uncertain nonlinear systems with input and output quantization is investigated. A new controller structure is introduced in which a modified output quantizer is proposed so that its first‐order derivative exists, and an observer is designed with quantized input and output as its input signals. Then, with dynamic surface control as a tool, an adaptive recursive design is developed which can avoid higher‐order derivatives of the quantized output signal. It is proved that, with the proposed scheme, coarser input and output quantization can be achieved and the tracking error can converge to a small residual set by appropriately choosing some design parameters.