Safe diagnosability of discrete event systems

被引:0
作者
Paoli, A [1 ]
Lafortune, S [1 ]
机构
[1] Univ Bologna, DEIS, CASY, I-40136 Bologna, Italy
来源
42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS | 2003年
关键词
discrete event systems; fault diagnosis; safety; supervision; finite state machine;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of safe failure diagnosis in discrete event systems is addressed. Starting from the standard definition of diagnosability of discrete event systems, which deals with the problem of detecting the occurrence of an unobservable event using the available observations on the system, the problem of performing the detection before the system executes a forbidden string is introduced. For example, this constraint could he required to prevent local faults from developing into failures that could cause safety hazards. This idea results in a new language property for discrete event systems called safe diagnosability. Necessary and sufficient conditions to test this language property are presented. Moreover, the problem of explicitly taking into account safe diagnosability as a requirement in system design is discussed.
引用
收藏
页码:2658 / 2664
页数:7
相关论文
共 50 条
  • [41] Robust decentralized diagnosability of networked discrete event systems against DoS and deception attacks
    Alves, Marcos V. S.
    Barcelos, Raphael J.
    Carvalho, Lilian K.
    Basilio, Joao C.
    NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2022, 44
  • [42] Polynomial-time verification of diagnosability of fuzzy discrete event systems
    FuChun Liu
    Science China Information Sciences, 2014, 57 : 1 - 10
  • [43] Modular diagnosability of Discrete Event Systems Synchronized by Observable or Unobservable Events
    Basilio, Joao C.
    Toguyeni, Armand
    IFAC PAPERSONLINE, 2023, 56 (02): : 4570 - 4575
  • [44] Verification of Generalized Inference Diagnosability for Decentralized Diagnosis in Discrete Event Systems
    Takai, Shigemasa
    Kumar, Ratnesh
    PROCEEDINGS OF 2015 IEEE 20TH CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION (ETFA), 2015,
  • [45] Probabilistic logical approach for testing diagnosability of stochastic discrete event systems
    Geng, Xuena
    Ouyang, Dantong
    Zhao, Xiangfu
    Hao, Shuang
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2016, 53 : 53 - 61
  • [46] Diagnosability and attack detection for discrete event systems under sensor attacks
    Lin, Feng
    Lafortune, Stephane
    Wang, Caisheng
    DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS, 2024, 34 (03): : 465 - 495
  • [47] Solving Diagnosability of Hybrid Systems via Abstraction and Discrete Event Techniques
    Grastien, Alban
    Trave-Massuyes, Louise
    Puig, Vicenc
    IFAC PAPERSONLINE, 2017, 50 (01): : 5023 - 5028
  • [48] Verification of Modular Diagnosability With Local Specifications for Discrete-Event Systems
    Schmidt, Klaus Werner
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2013, 43 (05): : 1130 - 1140
  • [49] Robust Diagnosability and Robust Prognosability of Discrete-Event Systems Revisited
    Yin, Xiang
    Li, Shaoyuan
    2018 IEEE 8TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER), 2018, : 302 - 307
  • [50] Polynomial-time verification of diagnosability of fuzzy discrete event systems
    LIU FuChun
    ScienceChina(InformationSciences), 2014, 57 (06) : 274 - 283