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Observer-Based Event-Triggered Containment Control for MASs Under DoS Attacks
Abstract
This article studies the observer-based event-triggered containment control problem for linear multiagent systems (MASs) under denial-of-service (DoS) attacks. In order to deal with situations where MASs states are unmeasurable, an improved separation method-based observer design method with less conservativeness is proposed to estimate MASs states. To save communication resources and achieve the containment control objective, a novel observer-based event-triggered containment controller design method based on observer states is proposed for MASs under the influence of DoS attacks, which can make the MASs resilient to DoS attacks. In addition, the Zeno behavior can be eliminated effectively by introducing a positive constant into the designed event-triggered mechanism. Finally, a practical example is presented to illustrate the effectiveness of the designed observer and the event-triggered containment controller.
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“Several event-based controllers have been proposed in the literature, most of which are state-feedback controllers [35-39].”
From Data-driven control of hydraulic servo actuator: An event-triggered adaptive dynamic programming approach (2023) · cites this paper as [35]
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Metadata
- Authors
- Ma, Y.-S., Che, W.-W., Deng, C., & Wu, Z.-G.
- Affiliations
- Department of Automation, Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China
- Qingdao University (CN)
- Nanjing University of Posts and Telecommunications (CN)
- State Key Laboratory of Industrial Control Technology (CN)
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2022-12
- Volume
- 52
- Issue
- 12
- Pages
- 13156-13167
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W3196711749
- Cited by
- 205
- References
- 50
- Citations by year
- 2026: 29 · 2025: 54 · 2024: 46 · 2023: 35 · 2022: 37
- FWCI
- 13.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Cybernetics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (U1966202, 61873338)
- Taishan Scholars (tsqn201812052)
- Natural Science Foundation of Shandong Province (ZR2020KF034)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Neural Networks Stability and Synchronization
- Keywords
- event-triggered control, containment control, multi-agent systems, denial-of-service attacks, observer design, separation processes, unmeasurable states, Zeno behavior elimination, communication resource reduction, attack resilience
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