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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Bibliographic Details
Published in:IET control theory & applications Vol. 14; no. 14; pp. 1937 - 1946
Main Authors: Deng, Zhenhua, Wang, Lei
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 24.09.2020
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ISSN:1751-8644, 1751-8652
Online Access:Get full text
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Summary: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.
ISSN:1751-8644
1751-8652
DOI:10.1049/iet-cta.2019.1169