Adaptive Control and Identification Using One Neural Network for a Class of Plants with Uncertainties

IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 28 巻 4 号 496-505 頁 1998 発行
アクセス数 : 896
ダウンロード数 : 217

今月のアクセス数 : 2
今月のダウンロード数 : 1
ファイル情報(添付)
タイトル ( eng )
Adaptive Control and Identification Using One Neural Network for a Class of Plants with Uncertainties
作成者
Xu Bing Hong
Kaneko Makoto
収録物名
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans
28
4
開始ページ 496
終了ページ 505
抄録
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identification for a class ofcontrolled plants with linear and nonlinear uncertainties. This methoduses a single neural network for both control and identification, and asufficient condition of the local asymptotic stability is derived. Then, inorder to illustrate the applicability of the proposed method, it is applied tothe torque control of a flexible beam that includes linear and nonlinearstructural uncertainties.
著者キーワード
identification
controll system
neural networks
NDC分類
機械工学 [ 530 ]
言語
英語
資源タイプ 学術雑誌論文
出版者
IEEE
発行日 1998
権利情報
Copyright (c) 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
出版タイプ Version of Record(出版社版。早期公開を含む)
アクセス権 オープンアクセス
収録物識別子
[ISSN] 1083-4427
[DOI] 10.1109/3468.686711
[NCID] AA1107090X
[DOI] http://dx.doi.org/10.1109/3468.686711