Event-Based Fault Detection Filtering for Complex Networked Jump Systems
Event-Based Fault Detection Filtering for Complex Networked Jump Systems
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DOI：
10.1109/tmech.2017.2707389
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发表时间：
2018-04
期刊：
影响因子：
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通讯作者：
Tiebin Wu;Fanbiao Li;Chunhua Yang;W. Gui
中科院分区：
文献类型：
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作者：
Tiebin Wu;Fanbiao Li;Chunhua Yang;W. Gui
研究了通信网络中具有非齐次马尔可夫参数的复杂系统的故障检测滤波问题。产生的残差信号，给出了一个令人满意的估计的故障，并提出了一个事件触发的计划，以确定是否应该更新的网络在触发时刻决定的事件阈值。此外，一个随机过程被用来模拟恶意数据包丢失的现象。因此，提出了一种新的方法来解决随机稳定性分析，并同时满足给定的$H {2}$性能指标。滤波器设计算法的存在条件是由一个凸优化方法来估计故障，并产生一个残差。最后，建议的故障检测滤波方法，然后应用到一个工业非等温连续搅拌釜式反应器在现实网络条件下。仿真结果表明了所提出的设计方法和所设计滤波器的有效性。
This paper is concerned with the fault detection filtering for complex systems over communication networks subject to nonhomogeneous Markovian parameters. A residual signal is generated that gives a satisfactory estimation of the fault, and an event-triggered scheme is proposed to determine whether the networks should be updated at the trigger instants decided by the event-threshold. Moreover, a random process is employed to model the phenomenon of malicious packet losses. Consequently, a novel method is presented to address the stochastically stability analysis and satisfies a given $H_{2}$ performance index simultaneously. The condition of the existence of the filter design algorithm is derived by a convex optimization approach to estimate the faults and to generate a residual. Finally, the proposed fault detection filtering method is then applied to an industrial nonisothermal continuous stirred tank reactor under realistic network conditions. Simulation results are given to show the effectiveness of the proposed design method and the designed filter.