文章基本信息

标题：Quasi-Infinite Adaptive Horizon Nonlinear Model Predictive Control
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作者：Devin W. Griffith ; Sachin C. Patwardhan ; Lorenz T. Biegler 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：18
页码：506-511
DOI：10.1016/j.ifacol.2018.09.374
语种：English
出版社：Elsevier
摘要：AbstractIn this work we present a new method for calculating terminal conditions for nonlinear model predictive control (NMPC) that is non-conservative and scalable via the quasi-infinite horizon methodology. Then, we introduce adaptive-horizon NMPC, a new method for updating prediction horizon lengths online via nonlinear programming sensitivity calculations. Finally, we show how these methods work together to provide an adaptive horizon NMPC implementation for a quad-tank simulation example.
关键词：Keywordspredictive controlprocess controlrobust stabilitynonlinear controlnonlinear programmingmodel-based controlmultivariable feedback control