文章基本信息

标题：Coalitional MPC with predicted topology transitions ⁎
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作者：E. Masero ; J.M. Maestre ; M. Francisco 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：3342-3347
DOI：10.1016/j.ifacol.2020.12.1498
语种：English
出版社：Elsevier
摘要：AbstractThis paper proposes a novel hierarchical coalitional MPC technique, where transitions to the best communication topology are considered over the prediction horizon. For this reason, a new variable, called transition horizon, is added to the optimization problem to compute the optimal instant to introduce a new topology. Consequently, local controllers can anticipate topology transitions and adapt their trajectories whilst optimizing their local interests. Furthermore, stability guarantees in the closed-loop control of each coalition are provided. The benefits of this control method are shown via a simulated non-linear eight-coupled tanks plant.
关键词：KeywordsModel predictive controlMulti-agent systemsNetworked controlLMIStability