ABSTRACT This work focuses on the fault detection for nonlinear networked systems. A fault detection filter is designed to detect the fault signal under the effect of disturbance. The communication channel of the networked system is supposed to be influenced by the limited bandwidth and random data losses. To deal with these, event-triggered scheme and Bernoulli process are employed to describe the problems, respectively. According to the above situation, we employ a formulated random series to describe the input of fuzzy filter. Differential mean value theorem based method is presented to handle the asynchronous membership functions. Synthetically, linear matrix inequality approach is employed to obtain the stability conditions and the filter design process. At last, we verify the performance of this method acting in the simulation example.

中文翻译：

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受数据丢失影响的TS模糊系统的事件触发故障检测

摘要 这项工作的重点是非线性网络系统的故障检测。设计了故障检测滤波器来检测干扰作用下的故障信号。网络系统的通信信道应该受到有限带宽和随机数据丢失的影响。为了解决这些问题，分别采用事件触发方案和伯努利过程来描述问题。根据上述情况，我们采用公式化的随机序列来描述模糊滤波器的输入。提出了基于微分均值定理的方法来处理异步隶属函数。综合地，采用线性矩阵不等式方法来获得稳定性条件和滤波器设计过程。最后，我们在仿真实例中验证了该方法的性能。