中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Distributed Resource Allocation via Accelerated Saddle Point Dynamics

文献类型:期刊论文

作者Wen-Ting Lin; Yan-Wu Wang; Chaojie Li; Xinghuo Yu
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2021
卷号8期号:9页码:1588-1599
关键词Accelerated saddle point dynamic distributed resource allocation hyper-exponential stability power dispatch
ISSN号2329-9266
DOI10.1109/JAS.2021.1004114
英文摘要In this paper, accelerated saddle point dynamics is proposed for distributed resource allocation over a multi-agent network, which enables a hyper-exponential convergence rate. Specifically, an inertial fast-slow dynamical system with vanishing damping is introduced, based on which the distributed saddle point algorithm is designed. The dual variables are updated in two time scales, i.e., the fast manifold and the slow manifold. In the fast manifold, the consensus of the Lagrangian multipliers and the tracking of the constraints are pursued by the consensus protocol. In the slow manifold, the updating of the Lagrangian multipliers is accelerated by inertial terms. Hyper-exponential stability is defined to characterize a faster convergence of our proposed algorithm in comparison with conventional primal-dual algorithms for distributed resource allocation. The simulation of the application in the energy dispatch problem verifies the result, which demonstrates the fast convergence of the proposed saddle point dynamics.
源URL[http://ir.ia.ac.cn/handle/173211/45374]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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Wen-Ting Lin,Yan-Wu Wang,Chaojie Li,et al. Distributed Resource Allocation via Accelerated Saddle Point Dynamics[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(9):1588-1599.
APA Wen-Ting Lin,Yan-Wu Wang,Chaojie Li,&Xinghuo Yu.(2021).Distributed Resource Allocation via Accelerated Saddle Point Dynamics.IEEE/CAA Journal of Automatica Sinica,8(9),1588-1599.
MLA Wen-Ting Lin,et al."Distributed Resource Allocation via Accelerated Saddle Point Dynamics".IEEE/CAA Journal of Automatica Sinica 8.9(2021):1588-1599.

入库方式: OAI收割

来源:自动化研究所

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