Verification of Diagnosability for Cyber-Physical Systems: A Hybrid Barrier Certificate Approach

Fuente: arXiv
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Hauptverfasser: Zhong, Bingzhuo, Dong, Weijie, Yin, Xiang, Zamani, Majid
Format: Preprint
Veröffentlicht: 2024
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author Zhong, Bingzhuo
Dong, Weijie
Yin, Xiang
Zamani, Majid
author_facet Zhong, Bingzhuo
Dong, Weijie
Yin, Xiang
Zamani, Majid
contents Diagnosability is a system theoretical property characterizing whether fault occurrences in a system can always be detected within a finite time. In this paper, we investigate the verification of diagnosability for cyber-physical systems with continuous state sets. We develop an abstraction-free and automata-based framework to verify (the lack of) diagnosability, leveraging a notion of hybrid barrier certificates. To this end, we first construct a (delta,K)-deterministic finite automaton that captures the occurrence of faults targeted for diagnosis. Then, the verification of diagnosability property is converted into a safety verification problem over a product system between the automaton and the augmented version of the dynamical system. We demonstrate that this verification problem can be addressed by computing hybrid barrier certificates for the product system. To this end, we introduce two systematic methods, leveraging sum-of-squares programming and counter-example guided inductive synthesis to search for such certificates. Additionally, if the system is found to be diagnosable, we propose methodologies to construct a diagnoser to identify fault occurrences online. Finally, we showcase the effectiveness of our methods through a case study.
format Preprint
id arxiv_https___arxiv_org_abs_2408_06982
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Verification of Diagnosability for Cyber-Physical Systems: A Hybrid Barrier Certificate Approach
Zhong, Bingzhuo
Dong, Weijie
Yin, Xiang
Zamani, Majid
Systems and Control
Diagnosability is a system theoretical property characterizing whether fault occurrences in a system can always be detected within a finite time. In this paper, we investigate the verification of diagnosability for cyber-physical systems with continuous state sets. We develop an abstraction-free and automata-based framework to verify (the lack of) diagnosability, leveraging a notion of hybrid barrier certificates. To this end, we first construct a (delta,K)-deterministic finite automaton that captures the occurrence of faults targeted for diagnosis. Then, the verification of diagnosability property is converted into a safety verification problem over a product system between the automaton and the augmented version of the dynamical system. We demonstrate that this verification problem can be addressed by computing hybrid barrier certificates for the product system. To this end, we introduce two systematic methods, leveraging sum-of-squares programming and counter-example guided inductive synthesis to search for such certificates. Additionally, if the system is found to be diagnosable, we propose methodologies to construct a diagnoser to identify fault occurrences online. Finally, we showcase the effectiveness of our methods through a case study.
title Verification of Diagnosability for Cyber-Physical Systems: A Hybrid Barrier Certificate Approach
topic Systems and Control
url https://arxiv.org/abs/2408.06982