Least restrictive move-blocking model predictive control
Least restrictive move-blocking model predictive control
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DOI：
10.3182/20080706-5-kr-1001.01896
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
R. Gondhalekar;J. Imura
中科院分区：
文献类型：
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作者：
R. Gondhalekar;J. Imura
摘要作者最近提出了一种方法，以加强移动阻塞模型预测控制问题的强可行性。在本文中，该方法被用来设计强模型预测控制问题，产生最少的限制控制器。因此，不同移动阻塞状态的域是相等的，并且与非移动阻塞最大值相同。这允许仅基于成本性能来比较不同的移动阻止制度，而不考虑域大小。数值例子和案例研究表明，在输入和偏移移动阻塞之间，后者一般是上级。
Abstract The authors recently proposed an approach to enforce strong feasibility in move-blocking model predictive control problems. In this paper the approach is utilized to design strong model predictive control problems which generate least restrictive controllers. The domains of different move-blocking regimes are thus equal and the same as the non-moveblocking maximum. This allows comparison of different move-blocking regimes based on cost performance only, without considering domain size also. A numerical example and case study demonstrate that between input- and offset-move-blocking, the latter is generally superior.