文章基本信息

标题：Predictive Control with On-Off actuators of Partially Fading Memory Systems
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作者：J.R. Salvador ; T. Alamo ; D.R. Ramirez 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：7187-7192
DOI：10.1016/j.ifacol.2017.08.605
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a new algorithm for the predictive control of systems with on-off actuators that it is tailored for systems in which part of the state vector depends only slightly on past values of the control signal beyond a certaint — Ltime instant. An example of this is a system with both slow and fast stable dynamics, where the fast ones vanishes after a certain time while the slow dynamics are still influencing the transient state. The algorithm is based on an iterative procedure that constructs a set of candidate solutions to the predictive control problem. The size of the candidate solutions set is reduced from 2Nto a user specified valueMthat can be set accordingly to the computing capabilities of the machine in which the algorithm is to be implemented. The algorithm considers nonlinear systems and although the solution is suboptimal, the approximation error is small in practice and reduces with higherMvalues. The results are illustrated with a simulated example.
关键词：KeywordsPredictive controlDiscrete actuatorsFading Memory Systems