Event-Triggered Fault Detection Filter Design for Nonlinear Networked Systems
Event-Triggered Fault Detection Filter Design for Nonlinear Networked Systems
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DOI：
10.1109/tsmc.2017.2719629
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发表时间：
2018-11
期刊：
影响因子：
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通讯作者：
Yingnan Pan;Guanghong Yang
中科院分区：
文献类型：
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作者：
Yingnan Pan;Guanghong Yang
研究了区间二型模糊系统框架下非线性网络系统的事件触发故障检测滤波器设计问题。在系统模型中，参数的不确定性被有效地捕获的隶属函数（MF）的上限和下限。为了减少有限的通信带宽的利用率，应用事件触发的通信机制。一种新的FD滤波器的事件触发的通信机制，数据量化，和通信延迟的目的是产生一个残留信号和检测系统故障，其中的前提变量是不同于那些系统模型。因此，增广FD系统具有不完全匹配的MF，这妨碍了稳定性分析和FD。为了放松稳定性分析并获得更好的FD性能，在稳定性分析中利用了MF和松弛矩阵的信息。最后，两个例子来证明所提出的计划的有效性。
This paper investigates the problem of event-triggered fault detection (FD) filter design for nonlinear networked systems in the framework of interval type-2 fuzzy systems. In the system model, the parameter uncertainty is captured effectively by the membership functions (MFs) with upper and lower bounds. For reducing the utilization of limited communication bandwidth, an event-triggered communication mechanism is applied. A novel FD filter subject to event-triggered communication mechanism, data quantization, and communication delay is designed to generate a residual signal and detect system faults, where the premise variables are different from those of the system model. Consequently, the augmented FD system is with imperfectly matched MFs, which hampers the stability analysis and FD. To relax the stability analysis and achieve a better FD performance, the information of MFs and slack matrices are utilized in the stability analysis. Finally, two examples are employed to demonstrate the effectiveness of the proposed scheme.