分布式随机离散事件系统的模式故障预测EI北大核心CSCD

本文以随机自动机为模型,研究分布式随机离散事件系统的模式故障预测问题.首先根据分布式随机离散事件系统的分布特性对模式故障协同可预测性概念进行形式化,并通过构造模式故障识别器来识别系统中发生的模式故障.然后,构造一个模式故障协同预测器,提出一种基于协同预测器的具有多项式复杂度的算法,得到关于分布式随机离散事件系统模式故障协同可预测性的充分必要条件,实现对分布式随机离散事件系统的模式故障预测.

Coprognosability of pattern fault for decentralized stochastic discrete event systems

The prognosis problem of pattern fault for decentralized stochastic discrete-event systems (DESs) is investigated.Firstly, the notion of coprognosability of pattern fault for decentralized stochastic DESs is formalized based on thecharacteristics of stochastic systems, and the pattern fault occurring in the system is identified by constructing the patternfault recognizer. Then, a pattern fault coprognoser is constructed, and an algorithm with polynomial complexity for patternfault coprognosis is proposed by using the pattern fault coprognoser. Particularly, the sufficient and necessary condition forpattern fault coprognosis of decentralized stochastic DESs is presented, which solves the prognosis problem of pattern faultfor decentralized stochastic systems.