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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10054319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wangjingyao resilientconsensuscontrolformultiagentsystemsacomparativesurvey AT dengxingming resilientconsensuscontrolformultiagentsystemsacomparativesurvey AT guojinghua resilientconsensuscontrolformultiagentsystemsacomparativesurvey AT zengzeqin resilientconsensuscontrolformultiagentsystemsacomparativesurvey |