Adaptive Prescribed Time Control for Quantized Nonlinear Systems with Time-Varying Parameters and Disturbances

This paper investigates the command filter-based adaptive prescribed time tracking control problem for the uncertain nonlinear systems with input quantization. By applying adaptive control technique to backstepping control framework, a compensation technique-based tracking control scheme is proposed, where the influence of unknown time-varying parameters and non-vanishing disturbances can be compensated. Different from some existing command filter-based asymptotic tracking control methods, the designed controller ensures the output tracking error converges to a preassigned residual set within the prescribed time. Finally, the simulation result is given to validate the effectiveness of the presented method.