Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks
This paper investigates the consensus control problem for a class of nonlinear multi-agent systems (MASs) with communication link faults and denial-of-service (DoS) attacks. First, considering simultaneously the communication link faults and DoS attacks, an adaptive event-triggered control strategy...
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| Format: | Article |
| Language: | English |
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AIMS Press
2024-06-01
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| Series: | AIMS Electronics and Electrical Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/electreng.2024015 |
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| _version_ | 1832590285936263168 |
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| author | Yanming Wu Zelun Wang Guanglei Meng Jinguo Liu |
| author_facet | Yanming Wu Zelun Wang Guanglei Meng Jinguo Liu |
| author_sort | Yanming Wu |
| collection | DOAJ |
| description | This paper investigates the consensus control problem for a class of nonlinear multi-agent systems (MASs) with communication link faults and denial-of-service (DoS) attacks. First, considering simultaneously the communication link faults and DoS attacks, an adaptive event-triggered control strategy of MASs is proposed based on distributed adjacency error signals, and the avoidance of the Zeno phenomenon is analyzed. In addition, the unknown nonlinear functions can be approximated by the RBF neural networks. Then, based on Lyapunov stability analysis and induction, it is proved that all signals of MASs are uniformly ultimately bounded (UUB). Finally, the effectiveness of the proposed control scheme is verified by a simulation example. |
| format | Article |
| id | doaj-art-c9c35811fd0e4bf9837604aaab470786 |
| institution | Kabale University |
| issn | 2578-1588 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Electronics and Electrical Engineering |
| spelling | doaj-art-c9c35811fd0e4bf9837604aaab4707862025-01-24T01:10:37ZengAIMS PressAIMS Electronics and Electrical Engineering2578-15882024-06-018332233910.3934/electreng.2024015Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacksYanming Wu0Zelun Wang1Guanglei Meng2Jinguo Liu3College of Automation, Shenyang Aerospace University, Shenyang 110135, ChinaCollege of Automation, Shenyang Aerospace University, Shenyang 110135, ChinaCollege of Automation, Shenyang Aerospace University, Shenyang 110135, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, ChinaThis paper investigates the consensus control problem for a class of nonlinear multi-agent systems (MASs) with communication link faults and denial-of-service (DoS) attacks. First, considering simultaneously the communication link faults and DoS attacks, an adaptive event-triggered control strategy of MASs is proposed based on distributed adjacency error signals, and the avoidance of the Zeno phenomenon is analyzed. In addition, the unknown nonlinear functions can be approximated by the RBF neural networks. Then, based on Lyapunov stability analysis and induction, it is proved that all signals of MASs are uniformly ultimately bounded (UUB). Finally, the effectiveness of the proposed control scheme is verified by a simulation example.https://www.aimspress.com/article/doi/10.3934/electreng.2024015neural networksevent-triggeredmulti-agent systemscommunication link faultsdos attacks |
| spellingShingle | Yanming Wu Zelun Wang Guanglei Meng Jinguo Liu Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks AIMS Electronics and Electrical Engineering neural networks event-triggered multi-agent systems communication link faults dos attacks |
| title | Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks |
| title_full | Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks |
| title_fullStr | Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks |
| title_full_unstemmed | Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks |
| title_short | Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks |
| title_sort | neural networks based event triggered consensus control for nonlinear multiagent systems with communication link faults and dos attacks |
| topic | neural networks event-triggered multi-agent systems communication link faults dos attacks |
| url | https://www.aimspress.com/article/doi/10.3934/electreng.2024015 |
| work_keys_str_mv | AT yanmingwu neuralnetworksbasedeventtriggeredconsensuscontrolfornonlinearmultiagentsystemswithcommunicationlinkfaultsanddosattacks AT zelunwang neuralnetworksbasedeventtriggeredconsensuscontrolfornonlinearmultiagentsystemswithcommunicationlinkfaultsanddosattacks AT guangleimeng neuralnetworksbasedeventtriggeredconsensuscontrolfornonlinearmultiagentsystemswithcommunicationlinkfaultsanddosattacks AT jinguoliu neuralnetworksbasedeventtriggeredconsensuscontrolfornonlinearmultiagentsystemswithcommunicationlinkfaultsanddosattacks |