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Safe Diagnosability of Fuzzy Discrete-Event Systems and a Polynomial-Time Verification

机译:模糊离散事件系统的安全诊断和多项式时间验证

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Since fuzzy discrete-event systems (FDESs) were significantly brought forward, the study of FDESs has received increasing attention recently. This paper addresses the safe diagnosability under the framework of FDESs. The contributions are threefold. First, the notion of safe diagnosability for fuzzy systems is formalized. A safe diagnosable FDES means that not only each failure can be detected in terms of fuzziness, as well as the detection must be completed before any unsafe operation is executed. Then, a necessary and sufficient condition of safe diagnosability of FDESs is proposed by constructing the safe diagnoser. Finally, we present an algorithm for verifying the safe diagnosability of FDESs based on a constructive nondeterministic automaton, namely verifier. It is worth noting that both constructing the verifier and verifying the safe diagnosability of FDESs can be realized with a polynomial complexity.
机译:自从模糊离散事件系统(FDES)提出以来,FDES的研究受到了越来越多的关注。本文讨论了在FDES框架下的安全可诊断性。贡献是三倍。首先,对模糊系统的安全诊断概念进行了形式化。安全可诊断的FDES意味着不仅可以根据模糊程度检测出每个故障,而且必须在执行任何不安全的操作之前完成检测。然后,通过构造安全诊断器,提出了FDES安全诊断的充要条件。最后,我们提出一种基于建设性的不确定性自动机,即验证程序,验证FDES安全诊断性的算法。值得注意的是,构造验证器和验证FDES的安全性都可以用多项式复杂度实现。

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