文章基本信息

标题：On the maximal controller gain in linear MPC 1 1 This work was partially funded by the German Research Foundation (DFG) under the grants SCHU 2094/2-1 and MO 1086/11-1.
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作者：Moritz Schulze Darup ; Michael Jost ; Gabriele Pannocchia 等
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：9218-9223
DOI：10.1016/j.ifacol.2017.08.1279
语种：English
出版社：Elsevier
摘要：AbstractThe paper addresses the computation of Lipschitz constants for model predictive control (MPC) laws. Such Lipschitz constants are useful to assess the inherent robustness of nominal MPC for disturbed systems. It is shown that a Lipschitz constant can be computed by identifying the maximal controller gain of the MPC. Clearly, given the explicit description of the MPC, this gain can be easily identified. The computation of the explicit MPC may, however, be numerically demanding. The goal of the paper thus is to overestimate the maximal controller gain without using the explicit control law.
关键词：KeywordsModel predictive controllinear systemscontroller gainLipschitz constantsrobustnessactive set methods