Energy metrics and tradeoff of nonlinear multi-agent consensus subject to DoS attacks
This paper investigates the problem of fixed-time leader-following consensus in nonlinear multi-agent systems (NMASs) subject to malicious DoS (Denial-of-Service) attacks. From the perspectives of time cost (TC) and energy cost (EC), as well as the random impact of attacks on information interaction...
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Published in | Information sciences Vol. 718; p. 122362 |
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Language | English |
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01.11.2025
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Abstract | This paper investigates the problem of fixed-time leader-following consensus in nonlinear multi-agent systems (NMASs) subject to malicious DoS (Denial-of-Service) attacks. From the perspectives of time cost (TC) and energy cost (EC), as well as the random impact of attacks on information interaction, we propose an innovative switching control approach that combines the strengths of both finite-time and fixed-time control strategies. We derive sufficient and verifiable mathematical criteria for achieving leader-following consensus. Specifically, we demonstrate, both theoretically and numerically, that there is a tradeoff between TC and EC: the coexistence of the control parameters k and α implies that reducing TC inevitably increases EC. Finally, we highlight that different optimal values of the steepness exponent and control gain should be selected depending on the weighting metrics used, to minimize the total cost of time and energy. |
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AbstractList | This paper investigates the problem of fixed-time leader-following consensus in nonlinear multi-agent systems (NMASs) subject to malicious DoS (Denial-of-Service) attacks. From the perspectives of time cost (TC) and energy cost (EC), as well as the random impact of attacks on information interaction, we propose an innovative switching control approach that combines the strengths of both finite-time and fixed-time control strategies. We derive sufficient and verifiable mathematical criteria for achieving leader-following consensus. Specifically, we demonstrate, both theoretically and numerically, that there is a tradeoff between TC and EC: the coexistence of the control parameters k and α implies that reducing TC inevitably increases EC. Finally, we highlight that different optimal values of the steepness exponent and control gain should be selected depending on the weighting metrics used, to minimize the total cost of time and energy. |
ArticleNumber | 122362 |
Author | Huang, Tingwen Lu, Jianquan Zhao, Lingzhi Ruan, Qihua |
Author_xml | – sequence: 1 givenname: Lingzhi orcidid: 0000-0002-5909-0536 surname: Zhao fullname: Zhao, Lingzhi email: lingzhizhao123@163.com organization: School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China – sequence: 2 givenname: Jianquan surname: Lu fullname: Lu, Jianquan email: jqluma@seu.edu.cn organization: School of Mathematics, Southeast University, Nanjing 210096, China – sequence: 3 givenname: Qihua surname: Ruan fullname: Ruan, Qihua email: ruanqihua@163.com organization: School of Mathematics and Finance, Putian University, Putian 351100, China – sequence: 4 givenname: Tingwen surname: Huang fullname: Huang, Tingwen email: huangtw2024@163.com organization: Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology, Shenzhen 518055, China |
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SubjectTerms | DoS attack Energy metrics MASs Tradeoff |
Title | Energy metrics and tradeoff of nonlinear multi-agent consensus subject to DoS attacks |
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