Distributed Observer-Based Dynamic-Memory Event-Triggered Security Control for Interconnected Linear Systems

This paper explores the observer-based event-triggered security control problem for linear systems. Initially, a distributed dynamic-memory event-triggered scheme (DMETS) is proposed based on observed system states. This scheme is designed using information from past transmitted data packages, with the flexibility to dynamically adjust the quantity of transmitted data packages. Subsequently, a comprehensive mathematical model of hybrid cyber-attacks is established, and an observer-based distributed feedback control approach is proposed by utilizing the memory states. Furthermore, the asymptotic stability criterion of system is established by using Lyapunov direct method, and the design approaches of controller and observer are provided. Finally, contrast illustrative examples are presented to validate the advantage of DMETS and the effectiveness of the distributed control method. Note to Practitioners—This paper is prompted by the challenges of excessive consumption of network resources and the need for enhanced security control in linear systems. The prevailing approach to addressing this issue involves designing appropriate data transmission schemes, specifically ETS. However, a common limitation among these existing ETSs is the inability to efficiently utilize past transmitted data or dynamically adjust the quantity of data utilized in response to changes in system states. To overcome this limitation, we propose a DMETS, which aims to integrate memory characteristics and facilitate dynamic adjustments in memory data quantities.

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Institutions

Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2024-12-19
DOI
https://doi.org/10.1109/tase.2024.3515148
Citations
10
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
3.28

Funders

Controls
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article

Distributed Observer-Based Dynamic-Memory Event-Triggered Security Control for Interconnected Linear Systems

Kaibo Shi, Jin Tang Yang, Zhao Yang Dong, Qishui Zhong et al.
10 citations
IEEE Transactions on Automation Science and Engineering
Smart Grid Security and Resilience
3.28
article

Distributed Observer-Based Dynamic-Memory Event-Triggered Security Control for Interconnected Linear Systems

Kaibo Shi, Jin Tang Yang, Zhao Yang Dong, Qishui Zhong, Hongjing Liang
article en
10 citations

Abstract

This paper explores the observer-based event-triggered security control problem for linear systems. Initially, a distributed dynamic-memory event-triggered scheme (DMETS) is proposed based on observed system states. This scheme is designed using information from past transmitted data packages, with the flexibility to dynamically adjust the quantity of transmitted data packages. Subsequently, a comprehensive mathematical model of hybrid cyber-attacks is established, and an observer-based distributed feedback control approach is proposed by utilizing the memory states. Furthermore, the asymptotic stability criterion of system is established by using Lyapunov direct method, and the design approaches of controller and observer are provided. Finally, contrast illustrative examples are presented to validate the advantage of DMETS and the effectiveness of the distributed control method. Note to Practitioners—This paper is prompted by the challenges of excessive consumption of network resources and the need for enhanced security control in linear systems. The prevailing approach to addressing this issue involves designing appropriate data transmission schemes, specifically ETS. However, a common limitation among these existing ETSs is the inability to efficiently utilize past transmitted data or dynamically adjust the quantity of data utilized in response to changes in system states. To overcome this limitation, we propose a DMETS, which aims to integrate memory characteristics and facilitate dynamic adjustments in memory data quantities.

IEEE Transactions on Automation Science and EngineeringVol. 22
University of Electronic Science and Technology of China (CN), City University of Hong Kong (HK), Chengdu University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Smart Grid Security and Resilience
3.28
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