ID | 15728 |
JaLCDOI | |
Sort Key | 18
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フルテキストURL | |
著者 |
Kaneda Masahiro
Department of Electronics
Shinji Hiroshi
Nissan Chemical Corp
Aoyama Mikio
Department of Electronics
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抄録 | This paper deals with the adaptive observer which estimates the states and parameters of unknown system. It is shown that the adaptive observer problem is reduced to the identification of the transformation matrix for an arbitrary designable observer. Moreover, the adaptive process of the unknown parameters is reduced to the linear optimal regulator problem. As the result, a new method is presented to obtain an appropriate adaptive process with good insight. And, in this identification, a linear filter is found to be also useful against noises in input-output data. To achieve high accuracy, a particular nonlinear
filtering can improve SN ratio only in the direction of the unknown vector. Even if SN ratio of input-output data has zero dB, sufficient accuracy can be accomplished within suitable correction time. This design algorithm seems to be rather straightforward and practical. Since input sequence is required to be only sufficiently general, the method
is applicable to on-line identification also.
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出版物タイトル |
Memoirs of the School of Engineering, Okayama University
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発行日 | 1979-03-05
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巻 | 13巻
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出版者 | 岡山大学工学部
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出版者(別表記) | School of Engineering, Okayama University
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開始ページ | 225
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終了ページ | 238
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ISSN | 0475-0071
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NCID | AA00733903
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資料タイプ |
紀要論文
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OAI-PMH Set |
岡山大学
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言語 |
英語
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論文のバージョン | publisher
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NAID | |
Eprints Journal Name | mfe
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