文章基本信息

标题：An SOR-Like Method for Fast Model Predictive Control
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作者：Haley A. Blanchard ; Ambrose A. Adegbege
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：14418-14423
DOI：10.1016/j.ifacol.2017.08.2032
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, we propose an iterative first-order gradient method for fast and efficient implementation of Model Predictive Control (MPC). The proposed method utilizes a matrix-splitting scheme common to successive over-relaxation (SOR) iterative methods and may be considered a generalization of many existing fast gradient-based methods for MPC. We comment on parameter choices for global convergence and demonstrate the efficiency of the ensuing algorithms using a simulation example.
关键词：Keywordsquadratic programmingmodel predictive controlprimal-dual iterative methodsfast gradient methodsembedded control