文章基本信息

标题：Adaptive Horizon Model Predictive Regulation ⁎
本地全文：下载
作者：Arthur J. Krener
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：20
页码：54-59
DOI：10.1016/j.ifacol.2018.10.174
语种：English
出版社：Elsevier
摘要：AbstractModel Predictive Control (MPC) is a moving horizon scheme for stabilizing a plant to an operating point. It’s generalization, Model Predictive Regulation (MPR), is a moving horizon scheme for tracking a reference signal or rejecting a known disturbance. Adaptive Horizon Model Predictive Regulation (AHMPR) is a scheme for varying as needed the length of the horizon of Model Predictive Regulation. Its goal is to achieve tracking or disturbance rejection with horizons as small as possible. This allows AHMPR to be used on faster and/or more complicated dynamic processes.
关键词：KeywordsNonlinear regulationmodel predictive controlmodel predictive regulationadaptive horizon