This paper studies the adaptive tracking control problem for a class of nonstrict feedback nonlinear systems with quantized inputs and actuator faults. Compared with existing works on quantized control problem, the asymmetric hysteresis quantizer is considered in the actuator failure problem in this paper. To resolve the control challenge caused by the quantization effect, a nonlinear decomposition of the quantizer is proposed and applied to the controller design in the last step of the backstepping-based control approach. Combining with fuzzy logic systems, the unknown nonlinear functions contained in the researched nonlinear system is disposed without knowing some restrictive conditions of uncertainties. The developed controller guarantees that the system output converges to a small neighborhood of the desired reference signal and all the signals of the closed-loop system are bounded. Finally, simulation results are depicted to illustrate the efficiency of the proposed control algorithm.

本文研究了一类具有量化输入和执行器故障的非严格反馈非线性系统的自适应跟踪控制问题。与现有的量化控制问题相比，本文在执行器故障问题中考虑了非对称磁滞量化器。为了解决由量化效应引起的控制挑战，提出了量化器的非线性分解，并将其应用于基于反推的控制方法的最后一步中的控制器设计。结合模糊逻辑系统，在不知道不确定性限制条件的情况下，对所研究的非线性系统中包含的未知非线性函数进行处理。开发的控制器可确保系统输出收敛至所需参考信号的较小邻域，并且闭环系统的所有信号均受限制。最后，仿真结果被描述以说明所提出的控制算法的效率。