Modeling of Nonlinear Systems using Genetic Algorithm

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: 2012/06/01

タイトル(英語): Modeling of Nonlinear Systems using Genetic Algorithm

著者名: Kayoko Hayashi (Graduate School of Engineering, Hiroshima University), Toru Yamamoto (Div. of Electrical, Systems and Mathematical Engineering, Hiroshima University), Kazuo Kawada (Graduate School of Education, Hiroshima University)

著者名(英語): Kayoko Hayashi (Graduate School of Engineering, Hiroshima University), Toru Yamamoto (Div. of Electrical, Systems and Mathematical Engineering, Hiroshima University), Kazuo Kawada (Graduate School of Education, Hiroshima University)

キーワード: System Identification，Evolutionary Computation，Modeling，Genetic Algorithm，Nonlinear System

要約(英語): In this paper, a newly modeling system by using Genetic Algorithm (GA) is proposed. The GA is an evolutionary computational method that simulates the mechanisms of heredity or evolution of living things, and it is utilized in optimization and in searching for optimized solutions. Most process systems have nonlinearities, so it is necessary to anticipate exactly such systems. However, it is difficult to make a suitable model for nonlinear systems, because most nonlinear systems have a complex structure. Therefore the newly proposed method of modeling for nonlinear systems uses GA. Then, according to the newly proposed scheme, the optimal structure and parameters of the nonlinear model are automatically generated.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.6 （2012） 特集：データ指向型モデリング/予測/制御

本誌掲載ページ: 913-918 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/132/6/132_913/_article/-char/ja/