文章基本信息

标题：Data-driven parameterizations of suboptimal LQR and H 2 controllers
本地全文：下载
作者：Henk J. van Waarde ; Mehran Mesbahi
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：4234-4239
DOI：10.1016/j.ifacol.2020.12.2470
语种：English
出版社：Elsevier
摘要：AbstractIn this paper we design suboptimal control laws for an unknown linear system on the basis of measured data. We focus on the suboptimal linear quadratic regulator problem and the suboptimal H2control problem. For both problems, we establish conditions under which a given data set contains sufficient information for controller design. We follow up by providing a data-driven parameterization of all suboptimal controllers. We will illustrate our results by numerical simulations, which will reveal an interesting trade-off between the number of collected data samples and the achieved controller performance.
关键词：KeywordsData-based controloptimal control theorylinear systems