Resilient Asynchronous Sampled-Data Control for Markov Jump Systems Under DoS Attacks: A Discontinuous Interval-Dependent Lyapunov Functional

This article investigates the security control problem of Markov jump systems (MJSs) under denial of service (DoS) attacks by constructing a class of discontinuous interval-dependent functional. Motivated by (1) the enhanced practicality and flexibility of multi-sensor sampled-data control with asynchronous packet arrivals and (2) the destabilizing impact of DoS-induced data loss, a resilient asynchronous sampled-data control (RASDC) scheme is designed. RASDC can send data once immediately after the attack, thereby alleviating the performance degradation caused by long-term no input. Furthermore, by utilizing the stability analysis idea of switched systems, a discontinuous interval-dependent functional is constructed, which combines the information of the resilient sampling interval and the attack interval. To overcome the analytical challenges posed by its discontinuities, the discrete-time Lyapunov stability theory, convex combination techniques, and some estimation methods are used to derive the sufficient condition for mean square asymptotic stability. In light of the stability criterion, a design algorithm for the secure controller is provided. Finally, simulation results demonstrate the effectiveness of the proposed approach.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3615233
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
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article

Resilient Asynchronous Sampled-Data Control for Markov Jump Systems Under DoS Attacks: A Discontinuous Interval-Dependent Lyapunov Functional

Lan Yao, Min Xiao, Huang Xia, Zhen Wang
IEEE Transactions on Automation Science and Engineering
Smart Grid Security and Resilience
article

Resilient Asynchronous Sampled-Data Control for Markov Jump Systems Under DoS Attacks: A Discontinuous Interval-Dependent Lyapunov Functional

Lan Yao, Min Xiao, Huang Xia, Zhen Wang
article en

Abstract

This article investigates the security control problem of Markov jump systems (MJSs) under denial of service (DoS) attacks by constructing a class of discontinuous interval-dependent functional. Motivated by (1) the enhanced practicality and flexibility of multi-sensor sampled-data control with asynchronous packet arrivals and (2) the destabilizing impact of DoS-induced data loss, a resilient asynchronous sampled-data control (RASDC) scheme is designed. RASDC can send data once immediately after the attack, thereby alleviating the performance degradation caused by long-term no input. Furthermore, by utilizing the stability analysis idea of switched systems, a discontinuous interval-dependent functional is constructed, which combines the information of the resilient sampling interval and the attack interval. To overcome the analytical challenges posed by its discontinuities, the discrete-time Lyapunov stability theory, convex combination techniques, and some estimation methods are used to derive the sufficient condition for mean square asymptotic stability. In light of the stability criterion, a design algorithm for the secure controller is provided. Finally, simulation results demonstrate the effectiveness of the proposed approach.

IEEE Transactions on Automation Science and EngineeringVol. 22
Nanjing University of Posts and Telecommunications (CN), Shandong University of Science and Technology (CN)
Openalex Percentile: Top 67%
Smart Grid Security and Resilience
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