Adaptive neural self-triggered bipartite secure control for nonlinear MASs subject to DoS attacks
This paper studies the bipartite secure control design problem for nonlinear multi-agent systems (MASs) subject to denial-of-service (DoS) attacks over a signed digraph. By proposing an anti-attack control method, the nonlinear MASs can achieve the bipartite secure control goal in an insecure networ...
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| Published in | Information sciences Vol. 631; pp. 256 - 270 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
01.06.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0020-0255 1872-6291 |
| DOI | 10.1016/j.ins.2023.02.058 |
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| Abstract | This paper studies the bipartite secure control design problem for nonlinear multi-agent systems (MASs) subject to denial-of-service (DoS) attacks over a signed digraph. By proposing an anti-attack control method, the nonlinear MASs can achieve the bipartite secure control goal in an insecure network and physical environment. In addition, to save communication resources, a novel distributed adaptive self-triggered control (ASTC) mechanism is proposed. Different from the traditional self-triggered control, the trigger interval can be dynamically adjusted according to the situation that the followers converge to the convex hull formed by the leaders, which makes the proposed control protocol based on ASTC able to balance the system performance and communication resources under DoS attacks through scheduling the inherent system resources. Furthermore, in order to overcome the problem of complexity explosion, a command filter is introduced into the design process to simplify the design process. The validity of our control scheme is demonstrated through a simulation example. |
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| AbstractList | This paper studies the bipartite secure control design problem for nonlinear multi-agent systems (MASs) subject to denial-of-service (DoS) attacks over a signed digraph. By proposing an anti-attack control method, the nonlinear MASs can achieve the bipartite secure control goal in an insecure network and physical environment. In addition, to save communication resources, a novel distributed adaptive self-triggered control (ASTC) mechanism is proposed. Different from the traditional self-triggered control, the trigger interval can be dynamically adjusted according to the situation that the followers converge to the convex hull formed by the leaders, which makes the proposed control protocol based on ASTC able to balance the system performance and communication resources under DoS attacks through scheduling the inherent system resources. Furthermore, in order to overcome the problem of complexity explosion, a command filter is introduced into the design process to simplify the design process. The validity of our control scheme is demonstrated through a simulation example. |
| Author | Liang, Hongjing Niu, Ben Cheng, Fabin Zhao, Xudong Zhao, Ning |
| Author_xml | – sequence: 1 givenname: Fabin orcidid: 0000-0001-7120-4164 surname: Cheng fullname: Cheng, Fabin email: chengfabin184@gmail.com organization: College of Control Science and Engineering, Bohai University, Jinzhou 121013, Liaoning, China – sequence: 2 givenname: Hongjing surname: Liang fullname: Liang, Hongjing email: lianghongjing99@163.com organization: School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China – sequence: 3 givenname: Ben surname: Niu fullname: Niu, Ben email: niubensdnu@163.com organization: School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China – sequence: 4 givenname: Ning surname: Zhao fullname: Zhao, Ning email: zhaoning_hrbeu@163.com organization: College of Control Science and Engineering, Bohai University, Jinzhou 121013, Liaoning, China – sequence: 5 givenname: Xudong surname: Zhao fullname: Zhao, Xudong email: xdzhaohit@gmail.com organization: College of Control Science and Engineering, Bohai University, Jinzhou 121013, Liaoning, China |
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| Keywords | DoS attacks Anti-attack control method Bipartite secure control Multi-agent systems Adaptive self-triggered control |
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| SubjectTerms | Adaptive self-triggered control Anti-attack control method Bipartite secure control DoS attacks Multi-agent systems |
| Title | Adaptive neural self-triggered bipartite secure control for nonlinear MASs subject to DoS attacks |
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