文章基本信息

标题：Adaptive Scenario Generation for Multistage NMPC with Shrinking Horizons
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作者：Flemming Holtorf ; Alexander Mitsos ; Lorenz T. Biegler 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：1
页码：586-591
DOI：10.1016/j.ifacol.2019.06.126
语种：English
出版社：Elsevier
摘要：AbstractWe present a multistage scheme for shrinking horizon nonlinear model predictive control (NMPC). This approach generates scenario trees on-line in an adaptive manner, and assembles them from predictions of worst-case uncertainty realizations through first-order approximations of the process model. A key result of this approach is that both size and complexity of the resultant optimal control problems do not scale directly with the number of uncertain model parameters. Moreover, we apply and demonstrate this approach on a challenging industrially-relevant semi-batch polymerization process under parametric model uncertainty. The results show that adaptive scenario generation leads to improved performance, while maintaining the attained level of robustness for the considered process.
关键词：Keywordsscenario-tree generationrobust controladaptive controlparametric model uncertaintymulti-stage NMPC