基于事件触发的网络化T-S模糊系统容错控制

研究了基于事件触发的网络化T-S模糊系统容错控制问题．首先针对一类具有随机执行器故障的网络化T-S模糊系统，提出一种有效减少数据传输量的事件触发机制．然后在综合考虑事件触发机制和控制器与T-S系统前件变量的异步的情况下，建立一种能同时描述事件传送策略、执行器失效、网络诱导时延和异步前件变量的新颖模型．利用李亚普诺夫泛函方法，得到保守性较小的闭环T-S系统均方渐近稳定条件和相应的容错控制器设计方法．实例表明了本文所得结果的有效性．

Event-triggered Fault-tolerant Control for Networked T-S Fuzzy Systems

We examine the problem of fault-tolerant control in networked Takagi-Sugeno (T-S) fuzzy systems based on an event-triggered communication scheme. First, to reduce the number of transmitted packets, we provide an event-triggered communication scheme for networked T-S fuzzy systems with stochastic actuator faults. Secondly, we build a novel time-delay model with consideration of the event-triggered communication scheme, asynchronous premise variables, and stochastic actuator faults. Then, using a Lyapunov functional approach, we derive less conservative criteria for the mean-square sense, asymptotically stable, and fault-tolerant controller design. An illustrative example is given to illustrate the effectiveness of the developed method.