Hybrid-triggered mechanism ℋ∞ performance analysis for Markovian jump cyber-physical systems under deception attacks

This paper investigates the ℋ∞ performance problem of discrete-time Markovian jump cyber-physical systems under deception attacks, utilizing a hybrid-triggered mechanism. First, a hybrid-triggered mechanism is used to reduce the controller update frequency to conserve the limited network bandwidth. Second, a random variable is introduced to describe the deception attack and a new controller model is designed. Third, the stochastic stability of the system is proved through the selection of appropriate segmented Lyapunov functions, which give sufficient conditions for the system to satisfy the ℋ∞ performance index. Finally, we simulate an example to illustrate the efficacy of the approach presented in this paper.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2025-04-14
DOI
https://doi.org/10.1177/01423312251325299
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
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article

Hybrid-triggered mechanism ℋ∞ performance analysis for Markovian jump cyber-physical systems under deception attacks

Huimin Zhang, Xiaoping Zhan, Lingli Cheng, Jie Wu et al.
Transactions of the Institute of Measurement and Control
Smart Grid Security and Resilience
article

Hybrid-triggered mechanism ℋ∞ performance analysis for Markovian jump cyber-physical systems under deception attacks

Huimin Zhang, Xiaoping Zhan, Lingli Cheng, Jie Wu, Huaicheng Yan
article en

Abstract

This paper investigates the ℋ∞ performance problem of discrete-time Markovian jump cyber-physical systems under deception attacks, utilizing a hybrid-triggered mechanism. First, a hybrid-triggered mechanism is used to reduce the controller update frequency to conserve the limited network bandwidth. Second, a random variable is introduced to describe the deception attack and a new controller model is designed. Third, the stochastic stability of the system is proved through the selection of appropriate segmented Lyapunov functions, which give sufficient conditions for the system to satisfy the ℋ∞ performance index. Finally, we simulate an example to illustrate the efficacy of the approach presented in this paper.

Transactions of the Institute of Measurement and Control
East China University of Science and Technology (CN), Hubei Normal University (CN)
Openalex Percentile: Top 92%
Smart Grid Security and Resilience
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Hybrid-triggered mechanism ℋ∞ performance analysis for Markovian jump cyber-physical systems under deception attacks — Huimin Zhang, Xiaoping Zhan, et al. · Transactions of the Institute of Measurement and Control (2025) | TGRS Research Map | TGRS