文章基本信息

标题：Expectation-Maximization Based Defense Mechanism for Distributed Model Predictive Control
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作者：Rafael Accácio Nogueira ; Romain Bourdais ; Simon Leglaive 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：13
页码：73-78
DOI：10.1016/j.ifacol.2022.07.238
语种：English
出版社：Elsevier
摘要：AbstractControlling large-scale systems sometimes requires decentralized computation. Communication among agents is crucial to achieving consensus and optimal global behavior. These negotiation mechanisms are sensitive to attacks on those exchanges. This paper proposes an algorithm based on Expectation Maximization to mitigate the effects of attacks in a resource allocation based distributed model predictive control. The performance is assessed through an academic example of the temperature control of multiple rooms under input power constraints.
关键词：KeywordsDistributed constrained controlMPCCyber security in networked control systemsDecentralized ControlLarge-Scale Systems