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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| Published in: | IET control theory & applications Vol. 14; no. 14; pp. 1937 - 1946 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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The Institution of Engineering and Technology
24.09.2020
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| ISSN: | 1751-8644, 1751-8652 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Wang, Lei Deng, Zhenhua |
| Author_xml | – sequence: 1 givenname: Zhenhua surname: Deng fullname: Deng, Zhenhua email: zhdeng@amss.ac.cn organization: School of Automation, Central South University, 410083 Changsha, People's Republic of China – sequence: 2 givenname: Lei surname: Wang fullname: Wang, Lei organization: School of Automation, Central South University, 410083 Changsha, People's Republic of China |
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| Copyright | The Institution of Engineering and Technology 2021 The Authors. IET Control Theory & Applications published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
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| Keywords | multi-agent systems local cost function distributed control multi-robot systems second-order multiagent systems event-triggered schemes second-order agents distributed event-triggered algorithm resource allocation problem distributed algorithm exact optimal decision resource allocation distributed algorithms network resource constraints low communication costs optimal resource allocation stability Lyapunov methods |
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| SubjectTerms | distributed algorithm distributed algorithms distributed control distributed event‐triggered algorithm event‐triggered schemes exact optimal decision local cost function low communication costs Lyapunov methods multi‐agent systems multi‐robot systems network resource constraints optimal resource allocation Research Article resource allocation resource allocation problem second‐order agents second‐order multiagent systems stability |
| Title | Distributed event-triggered algorithm for optimal resource allocation of second-order multi-agent systems |
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