含执行器故障的切换非线性系统的事件触发自适应模糊容错控制

Event-Triggered Adaptive Fuzzy Fault-Tolerant Control for SwitchedNonlinear Systems with Actuator Faults

本文研究在平均驻留时间约束下,一类含有执行器故障的切换非线性系统输出反馈自适应模糊事件触发容错控制问题.首先,建立了一个模态依赖的状态观测器估计不可测量状态.利用模糊逻辑系统来逼近未知项.其次,构建自适应模糊容错事件触发控制方案能够节省网络资源和数据传输.然后,通过构造多Lyapunov函数和平均驻留时间法,证明闭环系统所有状态半全局一致最终有界的同时排除了Zeno现象.最后,通过数值仿真验证该方法的有效性.

This paper investigates the event-triggered output feedback adaptive fuzzy fault-tolerant control problem for switched nonlinear systems with actuator faults.Firstly,A mode-dependent state observer is established to estimate unmeasured states.Fuzzy logic systems are employed to approximate the unknown uncertainties.The constructed adaptive fuzzy fault-tolerant event-triggered controller can reduce the usage of the communication resources.Then,by multi-Lyapunov functions and average dwell time method,it is proved that all states of the closed-loop systems are SGGUB.In addition,zeno phenomenon can be excluded.Finally,the effectiveness of the method is verified by simulation result.