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Fault tolerance analysis for stochastic systems using switching diffusion processes

机译:使用切换扩散过程的随机系统容错分析

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This article models a class of stochastic systems with faults by switching diffusion processes (SDP), and analysesthe fault tolerability of such stochastic systems in the sense of input-to-state stability of overall SDP. The faulttolerability relies on the trade-off among the fault occurrence transition rate, the frequency of switching, and thedecreasing rate of Lyapunov functions along the solution of the system. Our results show that it may not benecessary to design the fault tolerant controller even though the stochastic system is not separately stable in thehealthy and faulty situations, the stability of the overall system process is still guaranteed under some conditions.The proposed tools are illustrated through an example of a fault-prone manufacturing system.
机译:本文通过切换扩散过程(SDP)对一类具有故障的随机系统进行建模,并从整体SDP的输入到状态稳定性的角度分析此类随机系统的容错性。容错性取决于系统解决方案中故障发生转移率,切换频率和李雅普诺夫函数递减率之间的权衡。我们的结果表明,即使随机系统在健康和故障情况下都不稳定,也不一定需要设计容错控制器,但在某些条件下仍能保证整个系统过程的稳定性。容易出错的制造系统的示例。

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