Resilient Consensus Control for Linear Multi-agent System Against the False Data Injection Attacks
This paper is concerned with the resilient consensus control problem of the linear multi-agent system under the false data injection attacks, where each agent may receive the injected false data by attackers from its neighbours through communication links. Due to the existence of the false data, the...
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| Published in | International journal of control, automation, and systems Vol. 21; no. 7; pp. 2112 - 2123 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Bucheon / Seoul
Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
01.07.2023
Springer Nature B.V 제어·로봇·시스템학회 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1598-6446 2005-4092 |
| DOI | 10.1007/s12555-022-0261-y |
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| Abstract | This paper is concerned with the resilient consensus control problem of the linear multi-agent system under the false data injection attacks, where each agent may receive the injected false data by attackers from its neighbours through communication links. Due to the existence of the false data, the desired consensus of multi-agent can not be reached by the general distributed consensus algorithms. By constructing an extended state observer to estimate the state and the injected false data towards each agent, a distributed resilient consensus control algorithm is designed to offset the negative effect of the attacks. Firstly, a sufficient condition is derived for the undirected multi-agent system under a bounded and decaying false data injection. Secondly, a sufficient and necessary condition is provided for the directed multi-agent system under the false data injection with decaying rate. Finally, the simulation results illustrate the effectiveness of the proposed consensus algorithms against the false data attacks. |
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| AbstractList | This paper is concerned with the resilient consensus control problem of the linear multi-agent system under the false data injection attacks, where each agent may receive the injected false data by attackers from its neighbours through communication links. Due to the existence of the false data, the desired consensus of multi-agent can not be reached by the general distributed consensus algorithms. By constructing an extended state observer to estimate the state and the injected false data towards each agent, a distributed resilient consensus control algorithm is designed to offset the negative effect of the attacks. Firstly, a sufficient condition is derived for the undirected multi-agent system under a bounded and decaying false data injection. Secondly, a sufficient and necessary condition is provided for the directed multi-agent system under the false data injection with decaying rate. Finally, the simulation results illustrate the effectiveness of the proposed consensus algorithms against the false data attacks. This paper is concerned with the resilient consensus control problem of the linear multi-agent system under the false data injection attacks, where each agent may receive the injected false data by attackers from its neighbours through communication links. Due to the existence of the false data, the desired consensus of multi-agent can not be reached by the general distributed consensus algorithms. By constructing an extended state observer to estimate the state and the injected false data towards each agent, a distributed resilient consensus control algorithm is designed to offset the negative effect of the attacks. Firstly, a sufficient condition is derived for the undirected multiagent system under a bounded and decaying false data injection. Secondly, a sufficient and necessary condition is provided for the directed multi-agent system under the false data injection with decaying rate. Finally, the simulation results illustrate the effectiveness of the proposed consensus algorithms against the false data attacks. KCI Citation Count: 3 |
| Author | Hu, Jianqiang Cao, Jinde Wang, Meirong |
| Author_xml | – sequence: 1 givenname: Meirong surname: Wang fullname: Wang, Meirong organization: School of Mathematics, Southeast University – sequence: 2 givenname: Jianqiang orcidid: 0000-0002-1684-887X surname: Hu fullname: Hu, Jianqiang email: jqhu@seu.edu.cn organization: School of Mathematics, Southeast University – sequence: 3 givenname: Jinde orcidid: 0000-0003-3133-7119 surname: Cao fullname: Cao, Jinde organization: Yonsei Frontier Lab, Yonsei University, School of Mathematics, Southeast University |
| BackLink | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002975385$$DAccess content in National Research Foundation of Korea (NRF) |
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| CitedBy_id | crossref_primary_10_1007_s12555_023_0769_9 crossref_primary_10_1115_1_4066316 crossref_primary_10_3390_app14167304 crossref_primary_10_3390_fractalfract8090506 crossref_primary_10_1109_TNSE_2024_3433392 crossref_primary_10_1016_j_neucom_2024_128012 crossref_primary_10_1007_s12555_024_0602_0 crossref_primary_10_1007_s12555_023_0702_2 |
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| Keywords | Distributed control multi-agent system resilient consensus extended state observer false data injection attacks |
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| SubjectTerms | Algorithms Control Control algorithms Control systems Control theory Engineering Linear systems Mechatronics Multiagent systems Regular Papers Robotics State observers 제어계측공학 |
| Title | Resilient Consensus Control for Linear Multi-agent System Against the False Data Injection Attacks |
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