In this paper, a fuzzy adaptive full state constrained control approach is proposed for a class of stochastic switched systems subject to quantized input signals and actuator faults. The inherent discontinuous and hybrid characteristics of the concerned systems lead to a difficult task for designing a stable controller. Several fuzzy logic systems are utilized to approximate the unknown nonlinearities and the bound estimation approach is employed to deal with the stochastic switched disturbances. As a result, the negative effects caused by the discontinuous multiple uncertainties can be suppressed. Furthermore, several four-order Barrier Lyapunov Functions are introduced to guarantee that the constraints of the system states are not violated. It is proved that all the signals in the closed-loop system is semiglobally uniformly ultimately bounded. Numerical simulation results have been provided to illustrate the satisfactory performance of the proposed control algorithm.

中文翻译：

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具有输入量化的随机非线性切换系统的全状态约束自适应模糊控制

在本文中，针对一类受量化输入信号和执行器故障影响的随机切换系统，提出了一种模糊自适应全状态约束控制方法。相关系统固有的不连续和混合特性导致设计稳定控制器的艰巨任务。几个模糊逻辑系统被用来逼近未知的非线性，边界估计方法被用来处理随机切换扰动。因此，可以抑制不连续的多重不确定性造成的负面影响。此外，引入了几个四阶势垒李雅普诺夫函数来保证不违反系统状态的约束。证明了闭环系统中的所有信号都是半全局一致最终有界的。