IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i18p3862-d1236743.html
   My bibliography  Save this article

Detectability in Discrete Event Systems Using Unbounded Petri Nets

Author

Listed:
  • Haoming Zhu

    (Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macao SAR 999078, China)

  • Gaiyun Liu

    (School of Electro-Mechanical Engineering, Xidian University, Xi’an 710071, China)

  • Zhenhua Yu

    (School of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Zhiwu Li

    (Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macao SAR 999078, China)

Abstract

This paper investigated the verification of detectability for discrete event systems based on a class of partially observed unbounded Petri nets. In an unbounded net system, all transitions and partial places are assumed to be unobservable. The system administrator can only observe a few observable places, i.e., the number of tokens at these places can be observed, allowing for the estimation of current and subsequent states. The concepts of quasi-observable transitions, truly unobservable transitions, and partial markings are used to construct a basis coverability graph. According to this graph, four sufficient and necessary conditions of detectability are proposed. Correspondingly, a specific example is proposed to prove that the detectability can be verified in the unbounded net system. Furthermore, based on the conclusion of detectability, the system’s ability to detect critical states was explored by using the basis coverability graph, called C-detectability. Two real-world examples are proposed to show that the detectability of discrete event systems has not only pioneered new research methods, but also demonstrated that the real conditions faced by this method are more general, and it has overcome the limitations of relying only on the ideal conditions of bounded systems for verification.

Suggested Citation

  • Haoming Zhu & Gaiyun Liu & Zhenhua Yu & Zhiwu Li, 2023. "Detectability in Discrete Event Systems Using Unbounded Petri Nets," Mathematics, MDPI, vol. 11(18), pages 1-28, September.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:18:p:3862-:d:1236743
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/18/3862/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/18/3862/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhenhua Yu & Xudong Duan & Xuya Cong & Xiangning Li & Li Zheng, 2023. "Detection of Actuator Enablement Attacks by Petri Nets in Supervisory Control Systems," Mathematics, MDPI, vol. 11(4), pages 1-23, February.
    2. Haoming Zhu & Ahmed M. El-Sherbeeny & Mohammed A. El-Meligy & Amir M. Fathollahi-Fard & Zhiwu Li, 2023. "Verification of Current-State Opacity in Discrete Event Systems by Using Basis Coverability Graphs," Mathematics, MDPI, vol. 11(8), pages 1-18, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yongyao Li & Yufeng Chen & Rui Zhou, 2024. "A Set Covering Approach to Design Maximally Permissive Supervisors for Flexible Manufacturing Systems," Mathematics, MDPI, vol. 12(11), pages 1-20, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yongyao Li & Yufeng Chen & Rui Zhou, 2024. "A Set Covering Approach to Design Maximally Permissive Supervisors for Flexible Manufacturing Systems," Mathematics, MDPI, vol. 12(11), pages 1-20, May.
    2. Dan Wang & Yukang Liu & Zhenhua Yu, 2023. "Synergistic Mechanism of Designing Information Granules with the Use of the Principle of Justifiable Granularity," Mathematics, MDPI, vol. 11(7), pages 1-19, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:18:p:3862-:d:1236743. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.