Secure consensus control for constrained multi-agent systems against intermittent denial-of-service attacks: an adaptive dynamic programming method
Combining the use of the adaptive dynamic programming method and optimized backstepping strategy, this paper focuses on the secure consensus problem for constrained nonlinear multi-agent systems (MASs) subject to denial-of-service (DoS) attacks and input delay. Since network channels between some ag...
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| Published in: | IEEE journal on emerging and selected topics in circuits and systems Vol. 14; no. 4; p. 1 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 2156-3357, 2156-3365 |
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| Abstract | Combining the use of the adaptive dynamic programming method and optimized backstepping strategy, this paper focuses on the secure consensus problem for constrained nonlinear multi-agent systems (MASs) subject to denial-of-service (DoS) attacks and input delay. Since network channels between some agents often suffer from intrusions by attackers during data transmission, we consider information transfers in both attack-sleep and attack-active scenarios, and construct a novel distributed observer with a switched mechanism to estimate the leader's state information. In order to optimize system performances while ensuring that the system states do not exceed constraint sets, a new performance index function and a tan-type barrier Lyapunov function (BLF) are introduced. Besides, by employing the Pade approximation and an intermediate variable, the effect of input delay is removed. As a consequence, the proposed optimal control can smoothly steer the nonlinear MASs to realize the followers-leader consensus tracking goal, and all system states are consistently constrained within their compact sets. Finally, simulation results verify the effectiveness of this control scheme. |
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| AbstractList | Combining the use of the adaptive dynamic programming method and optimized backstepping strategy, this paper focuses on the secure consensus problem for constrained nonlinear multi-agent systems (MASs) subject to denial-of-service (DoS) attacks and input delay. Since network channels between some agents often suffer from intrusions by attackers during data transmission, we consider information transfers in both attack-sleep and attack-active scenarios, and construct a novel distributed observer with a switched mechanism to estimate the leader’s state information. In order to optimize system performances while ensuring that the system states do not exceed constraint sets, a new performance index function and a tan-type barrier Lyapunov function (BLF) are introduced. Besides, by employing the Pade approximation and an intermediate variable, the effect of input delay is removed. As a consequence, the proposed optimal control can smoothly steer the nonlinear MASs to realize the followers-leader consensus tracking goal, and all system states are consistently constrained within their compact sets. Finally, simulation results verify the effectiveness of this control scheme. |
| Author | Gao, Zhen Zhao, Xudong Zhao, Ning Zong, Guangdeng |
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| SubjectTerms | adaptive dynamic programming method Backstepping barrier Lyapunov function Constraints Data transmission Denial of service attacks Denial-of-service attack Dynamic programming Indexes Laplace equations Liapunov functions Multi-agent systems Multiagent systems Nonlinear control Nonlinear multi-agent systems Nonlinear systems Observers Optimal control Optimization Pade approximation Performance indices |
| Title | Secure consensus control for constrained multi-agent systems against intermittent denial-of-service attacks: an adaptive dynamic programming method |
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