文章基本信息

标题：On data-driven design of LPV controllers with flexible reference models ⁎
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作者：V. Breschi ; M. van Meer ; T. Oomen 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：8
页码：95-100
DOI：10.1016/j.ifacol.2021.08.587
语种：English
出版社：Elsevier
摘要：AbstractMany data-driven control design methods require thea-prioriselection of a reference model to be tracked. In case of limited priors on the plant, such a blind choice might ultimately compromise the overall performance. In this work, we propose a nested strategy for the direct design of Linear Parameter Varying (LPV) controllers from data, in which the reference model is treated as ahyperparameterto be tuned. The proposed approach allows one to jointly optimize the reference model and learn an LPV controller, solely based onsoftspecifications on the desired closed-loop. The effectiveness of the proposed technique is assessed on a benchmark case study, with the obtained results showing its potential advantages over a state-of-the-art method.
关键词：KeywordsData driven controlNon-parametric Methods