文章基本信息

标题：Low Complexity Distributed Model Predictive Control by Using Contractive Sets
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作者：Alexandra Grancharova ; Sorin Olaru
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：13164-13169
DOI：10.1016/j.ifacol.2017.08.2171
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, an approach to low complexity distributed MPC of linear interconnected systems with coupled dynamics subject to both state and input constraints is proposed. The suggested approach is based on the idea of introducing a contractive set constraint in the centralized MPC problem formulation, which would guarantee the closed-loop system stability when using a small prediction horizon. Then, a dual accelerated gradient method is applied to obtain distributedly a suboptimal solution of the resulting Quadratic Programming problem. The suggested approach would be appropriate for embedded distributed MPC since it will reduce the complexity of the on-line MPC computations, simplify the software implementation, and reduce the requirements for available memory.
关键词：KeywordsPredictive controlDistributed controlInterconnected systemsLinear systemsConstraints