文章基本信息

标题：Data-driven inversion-based control of nonlinear systems
本地全文：下载
作者：Simone Formentin ; Carlo Novara ; Sergio M. Savaresi 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：28
页码：1343-1348
DOI：10.1016/j.ifacol.2015.12.318
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, we introduce the Data-Driven Inversion-Based Control (D2-IBC) method for nonlinear control system design. The method relies on a two degree-of-freedom architecture, with a nonlinear controller and a linear controller running in parallel, and does not require any detailed physical knowledge of the plant to control. Specifically, we use input/output data to synthesize the control action by employing convex optimization tools only. We show the effectiveness of the proposed approach on a simulation example, where the D2-IBC performance is also compared to that of the Direct FeedbacK (DFK) design approach, a benchmark method for nonlinear controller design from data.
关键词：Keywordsdata-driven control designnonlinear systemsconvex optimization