凸最適化によるデータに基づく制御器設計の展開

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2019/04/01

タイトル(英語): Development of Data-Based Controller Synthesis by Convex Optimization

著者名: 弓場井　一裕（三重大学大学院工学研究科）

著者名(英語): Kazuhiro Yubai (Graduate School of Engineering, Mie University)

キーワード: 凸最適化，CCCP，反復LMI制約，データに基づく制御器設計　　convex optimization，CCCP，iterated LMI constraint，data-based controller synthesis

要約(英語): Recently, many researches extracting an essense from a huge number of data receive much attention in the various field of engineering. In the field of control engineering, the controller sysntheses from time-domain and/or frequency-domain data are energetically studied based on numerical optimization techniques. This paper presents a recent development of data-based controller synthesis by convex optimization, and shows that a special case of nonconvex optimization problems, which is often encounterd in the control field, is reformulated as a convex optimization problem by introducing the Concave-Convex Procedure or the Iterated LMI constraints. As an application, the H∞ loop shaping design procedure reformulated using frequency response data of a controlled plant is presented.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.4 （2019） 特集：スマートシステムと計測・制御技術

本誌掲載ページ: 272-275 p

原稿種別: 解説／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/139/4/139_272/_article/-char/ja/