文章基本信息

标题：Projected Alternating Direction Method of Multipliers for Hybrid Systems
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作者：Chengang Feng ; Romain Bourdais
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：8423-8428
DOI：10.1016/j.ifacol.2017.08.1571
语种：English
出版社：Elsevier
摘要：AbstractIn large-scale control optimization problems, a decentralized control structure can offer great scalability and rapidity advantages over a centralized implantation. Alternating Direction Method of Multipliers (ADMM) is a decentralized optimization algorithm which has the important benefit of being quite general in its scope and applicability in continuous systems. In this paper, a new projected ADMM algorithm is defined and it can work in hybrid systems. The key point is to add a convexification and a projection process during each iteration of ADMM algorithm. We have applied it to a charging control problem of electric vehicles. Simulation results show that the proposed algorithm can converge to a similar result as a centralized control within a limited iteration time. Due to its availability, simplicity and scalability, the projected ADMM algorithm may be attractive in some practical engineering application.
关键词：KeywordsProjected Alternating Direction Method of MultipliersControl design for hybrid systemsDecentralized controlLarge scale optimization problemsElectric vehicle