Distributed event‐triggered algorithm for resource allocation over directed balanced networks with communication edge attacks.
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| Title: | Distributed event‐triggered algorithm for resource allocation over directed balanced networks with communication edge attacks. |
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| Authors: | Zhu, Yanan1 (AUTHOR) ynzhu@nuist.edu.cn, Li, Huibin1 (AUTHOR) |
| Source: | Asian Journal of Control. Nov2025, Vol. 27 Issue 6, p2929-2939. 11p. |
| Subjects: | Resource allocation, Distributed algorithms, Computer network protocols, Directed graphs, Computer network security, Multiagent systems, Mathematical analysis |
| Abstract: | This paper focuses on the problem of multi‐agent resource allocation in the context of directed balanced network attacks and event‐triggered communications. Considering the potential communication link failures due to external attacks, this paper proposes a continuous‐time distributed resource allocation algorithm to effectively address these challenges. Additionally, an event‐triggered communication mechanism is implemented, which intelligently determines the timing of information exchanges to enhance system responsiveness while significantly reducing communication resource consumption. Through extensive theoretical analysis, the algorithm is proven to effectively avoid Zeno behaviors and to converge exponentially to the optimal solution. Finally, some simulation experiments further validate the accuracy of the theoretical analysis and the practical effectiveness of the algorithm. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | This paper focuses on the problem of multi‐agent resource allocation in the context of directed balanced network attacks and event‐triggered communications. Considering the potential communication link failures due to external attacks, this paper proposes a continuous‐time distributed resource allocation algorithm to effectively address these challenges. Additionally, an event‐triggered communication mechanism is implemented, which intelligently determines the timing of information exchanges to enhance system responsiveness while significantly reducing communication resource consumption. Through extensive theoretical analysis, the algorithm is proven to effectively avoid Zeno behaviors and to converge exponentially to the optimal solution. Finally, some simulation experiments further validate the accuracy of the theoretical analysis and the practical effectiveness of the algorithm. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 15618625 |
| DOI: | 10.1002/asjc.3614 |
