Adaptive Controller based on Uncertainty Observer for a Class of Affine T-S Fuzzy Models

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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: 2022/01/01タイトル(英語): Adaptive Controller based on Uncertainty Observer for a Class of Affine T-S Fuzzy Models著者名: Hugang Han (Department of Management and Information Systems, Prefectural University of Hiroshima)著者名(英語): Hugang Han (Department of Management and Information Systems, Prefectural University of Hiroshima)キーワード: affine T-S fuzzy model，uncertainty observer，S-procedure，adaptive law要約(英語): A class of affine T-S fuzzy models with uncertainty is considered in this paper. Compared with the T-S fuzzy model which is widely used in fuzzy control systems, affine T-S fuzzy model is regarded as a more effective model to describe the dynamics of the system concerned. However, the difficulty is how to handle the affine term in the model. In this paper, following a partition of state space that enables us to employ the S-procedure in an effort to deal with the affine term, a switching-type controller is proposed. The controller contains an uncertainty observer that is used to tackle the existence of the uncertainty and an adaptive law that is used to deal with others that are not covered by the uncertainty observer. In additions, examples are provided in order to demonstrate the effectiveness of the approach proposed in the paper.本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.142 No.1 （2022） 特集：電子回路関連技術本誌掲載ページ: 74-84 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/142/1/142_74/_article/-char/ja/ Show more