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Resilient Consensus Control for Multi-Agent Systems: A Comparative Survey

Due to the openness of communication network and the complexity of system structures, multi-agent systems are vulnerable to malicious network attacks, which can cause intense instability to these systems. This article provides a survey of state-of-the-art results of network attacks on multi-agent sy...

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Autores principales: Wang, Jingyao, Deng, Xingming, Guo, Jinghua, Zeng, Zeqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054319/
https://www.ncbi.nlm.nih.gov/pubmed/36991618
http://dx.doi.org/10.3390/s23062904
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author Wang, Jingyao
Deng, Xingming
Guo, Jinghua
Zeng, Zeqin
author_facet Wang, Jingyao
Deng, Xingming
Guo, Jinghua
Zeng, Zeqin
author_sort Wang, Jingyao
collection PubMed
description Due to the openness of communication network and the complexity of system structures, multi-agent systems are vulnerable to malicious network attacks, which can cause intense instability to these systems. This article provides a survey of state-of-the-art results of network attacks on multi-agent systems. Recent advances on three types of attacks, i.e., those on DoS attacks, spoofing attacks and Byzantine attacks, the three main network attacks, are reviewed. Their attack mechanisms are introduced, and the attack model and the resilient consensus control structure are discussed, respectively, in detail, in terms of the theoretical innovation, the critical limitations and the change of the application. Moreover, some of the existing results along this line are given in a tutorial-like fashion. In the end, some challenges and open issues are indicated to guide future development directions of the resilient consensus of multi-agent system under network attacks.
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spelling pubmed-100543192023-03-30 Resilient Consensus Control for Multi-Agent Systems: A Comparative Survey Wang, Jingyao Deng, Xingming Guo, Jinghua Zeng, Zeqin Sensors (Basel) Review Due to the openness of communication network and the complexity of system structures, multi-agent systems are vulnerable to malicious network attacks, which can cause intense instability to these systems. This article provides a survey of state-of-the-art results of network attacks on multi-agent systems. Recent advances on three types of attacks, i.e., those on DoS attacks, spoofing attacks and Byzantine attacks, the three main network attacks, are reviewed. Their attack mechanisms are introduced, and the attack model and the resilient consensus control structure are discussed, respectively, in detail, in terms of the theoretical innovation, the critical limitations and the change of the application. Moreover, some of the existing results along this line are given in a tutorial-like fashion. In the end, some challenges and open issues are indicated to guide future development directions of the resilient consensus of multi-agent system under network attacks. MDPI 2023-03-07 /pmc/articles/PMC10054319/ /pubmed/36991618 http://dx.doi.org/10.3390/s23062904 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Wang, Jingyao
Deng, Xingming
Guo, Jinghua
Zeng, Zeqin
Resilient Consensus Control for Multi-Agent Systems: A Comparative Survey
title Resilient Consensus Control for Multi-Agent Systems: A Comparative Survey
title_full Resilient Consensus Control for Multi-Agent Systems: A Comparative Survey
title_fullStr Resilient Consensus Control for Multi-Agent Systems: A Comparative Survey
title_full_unstemmed Resilient Consensus Control for Multi-Agent Systems: A Comparative Survey
title_short Resilient Consensus Control for Multi-Agent Systems: A Comparative Survey
title_sort resilient consensus control for multi-agent systems: a comparative survey
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054319/
https://www.ncbi.nlm.nih.gov/pubmed/36991618
http://dx.doi.org/10.3390/s23062904
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