Distributed event-triggered algorithm for optimal resource allocation of second-order multi-agent systems
In this work, the authors study the resource allocation problems of second-order multi-agent systems, where each agent is associated with a local cost function and the decisions of agents are constrained by network resource constraints. To seek the optimal resource allocation with low communication...
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| Veröffentlicht in: | IET control theory & applications Jg. 14; H. 14; S. 1937 - 1946 |
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| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
The Institution of Engineering and Technology
24.09.2020
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| Schlagworte: | |
| ISSN: | 1751-8644, 1751-8652 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | In this work, the authors study the resource allocation problems of second-order multi-agent systems, where each agent is associated with a local cost function and the decisions of agents are constrained by network resource constraints. To seek the optimal resource allocation with low communication costs, a distributed algorithm with event-triggered schemes is proposed. With the help of Lyapunov stability theory and convex analysis, the authors analyse the convergence of the algorithm and prove the event-triggered schemes are free of Zeno behaviour. Under the proposed algorithm, the second-order agents exponentially converge to the exact optimal decision of the resource allocation problem, and the burden of communication is reduced effectively. Finally, a simulation of the economic dispatch problem is given to illustrate the effectiveness of the authors' results. |
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| ISSN: | 1751-8644 1751-8652 |
| DOI: | 10.1049/iet-cta.2019.1169 |