Decentralized Fault Diagnosis for Constant-Time Automata

IF 2 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2025-02-04 DOI:10.1109/LCSYS.2025.3538737
Shaowen Miao;Aiwen Lai;Jan Komenda;Sébastien Lahaye
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Abstract

This letter investigates the verification problem of codiagnosability for discrete-event systems modeled by constant-time automata (CTAs). Codiagnosability requires that the occurrence of a fault event necessarily be detected by at least one local diagnostic agent within a finite number of events after the fault event occurs. In the present work, we first construct a verifier to check the codiagnosability of CTAs in the decentralized architecture. Additionally, an inappropriate, lower-complexity statement concerning diagnosability verification in our previous work is corrected. This correction prompts us to investigate the underlying reasons for increased complexity and to propose a condition for complexity reduction based on the verifier. Furthermore, another important contribution is our demonstration of the equivalence between diagnosability and codiagnosability for CTAs, an equivalence that does not hold in the framework of logical finite state automata. This equivalence serves as another verification technique for the codiagnosability of CTAs.
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常时间自动机的分散故障诊断
本文研究了由恒定时间自动机(cta)建模的离散事件系统的可共诊断性验证问题。可协同诊断性要求故障事件发生后,在有限数量的事件中,至少有一个本地诊断代理必须检测到故障事件的发生。在本工作中,我们首先构建了一个验证器来检查分散架构中cta的共诊断性。此外,更正了我们以前工作中关于可诊断性验证的不适当的、低复杂性的陈述。这种修正促使我们调查复杂性增加的潜在原因,并提出基于验证者的复杂性降低的条件。此外,我们的另一个重要贡献是证明了cta的可诊断性和可共诊断性之间的等价性,这种等价性在逻辑有限状态自动机的框架中不成立。这种等效性是cta可共诊断性的另一种验证技术。
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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