Open AccessInput–output dynamical stability analysis for cyber‐physical systems via logical networks
Author(s) -
Zhao Guodong,
Li Haitao,
Hou Ting
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2020.0197
Subject(s) - robustness (evolution) , cyber physical system , logical analysis , computer science , control theory (sociology) , physical system , dynamical systems theory , logical conjunction , stability (learning theory) , control engineering , mathematics , artificial intelligence , engineering , control (management) , machine learning , physics , biochemistry , chemistry , mathematical statistics , statistics , quantum mechanics , gene , programming language , operating system
In this study, the authors investigate the input–output dynamical stability of cyber‐physical systems, and obtain some new results. In the beginning, they proposed an algorithm to convert the finite systems into the logical networks, and the inherent relationship between them is analysed. Secondly, the aforementioned results are applied to the analysis for the robustness of infinite systems. Thirdly, the given cyber‐physical system is converted to a logical network with the same robustness and the robustness of the cyber‐physical system is analysed. In the end, an illustrative example shows the effectiveness of the obtained results.