Observer-Based Dual-Memory Controller for Lurie-Type CPSs Subject to Synergy Delays and DoS Attacks: Application to DC Motor System

This paper concerns the observer-based dual-memory control for Lurie-type cyber-physical systems (CPSs) subject to denial of service (DoS) attacks. First, an augmented switching Lurie-type CPSs model is established to analyze the impact of DoS attacks and synergy time delays on controller performance. Second, the memory-dynamic event-triggered scheme (MDETS) efficiently utilizes bandwidth resources by adapting the number of historical data packets transmitted based on system state fluctuations, meanwhile, the controller design incorporates constant time-delay compensation to improve system stability. Third, the exponential stability conditions for the closed-loop Lurie-type CPSs are derived via Lyapunov theory. Additionally, the co-design of the observer gain, controller gain, and event-triggering matrices is formulated using linear matrix inequalities (LMIs). Finally, the effectiveness of the proposed control scheme is validated through application to a DC motor system.

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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.2025.3614384
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
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article

Observer-Based Dual-Memory Controller for Lurie-Type CPSs Subject to Synergy Delays and DoS Attacks: Application to DC Motor System

Kaibo Shi, Bin Guo, Xiao Cai, Jinglei Tan et al.
IEEE Transactions on Automation Science and Engineering
Smart Grid Security and Resilience
article

Observer-Based Dual-Memory Controller for Lurie-Type CPSs Subject to Synergy Delays and DoS Attacks: Application to DC Motor System

Kaibo Shi, Bin Guo, Xiao Cai, Jinglei Tan, Da Chen, Qing Zhu
article en

Abstract

This paper concerns the observer-based dual-memory control for Lurie-type cyber-physical systems (CPSs) subject to denial of service (DoS) attacks. First, an augmented switching Lurie-type CPSs model is established to analyze the impact of DoS attacks and synergy time delays on controller performance. Second, the memory-dynamic event-triggered scheme (MDETS) efficiently utilizes bandwidth resources by adapting the number of historical data packets transmitted based on system state fluctuations, meanwhile, the controller design incorporates constant time-delay compensation to improve system stability. Third, the exponential stability conditions for the closed-loop Lurie-type CPSs are derived via Lyapunov theory. Additionally, the co-design of the observer gain, controller gain, and event-triggering matrices is formulated using linear matrix inequalities (LMIs). Finally, the effectiveness of the proposed control scheme is validated through application to a DC motor system.

IEEE Transactions on Automation Science and EngineeringVol. 22
Sichuan University (CN), Guangzhou University (CN)
Openalex Percentile: Top 67%
Smart Grid Security and Resilience
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