Fuzzy Finite-Time Tracking Control of Nonlinear Systems with Quantized States and Saturated Quantized Input

This paper investigates the issue of adaptive finite-time tracking for nonlinear systems with both quantized input and states. More specially, a saturated quantized input is applied for the input quantization. By constructing a novel high-gain fuzzy state observer, the issues of unknown nonlinearities and discontinuous quantized signals are addressed. Then an adaptive backstepping controller involving the fuzzy logic systems is developed. It is verified that, with the designed control method, all signals of the closed-loop system are bounded, and the tracking error can be made small by choosing the design parameters suitably. Finally, a simulation example is studied to show the effectiveness of the control scheme.