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| ファイル | 記述 | サイズ | フォーマット | |
|---|---|---|---|---|
| cdc.2016.7799153.pdf | 324.95 kB | Adobe PDF | 見る/開く |
完全メタデータレコード
| DCフィールド | 値 | 言語 |
|---|---|---|
| dc.contributor.author | Kashima, Kenji | en |
| dc.contributor.alternative | 加嶋, 健司 | ja |
| dc.date.accessioned | 2021-06-28T03:32:49Z | - |
| dc.date.available | 2021-06-28T03:32:49Z | - |
| dc.date.issued | 2016-12 | - |
| dc.identifier.isbn | 9781509018383 | - |
| dc.identifier.uri | http://hdl.handle.net/2433/263912 | - |
| dc.description.abstract | In this paper a novel model order reduction method for nonlinear systems is proposed. Differently from existing ones, the proposed method provides a suitable non-linear projection, which we refer to as control-oriented deep autoencoder (CoDA), in an easily implementable manner. This is done by combining noise response data based model reduction, whose control theoretic optimality was recently proven by the author, with stacked autoencoder design via deep learning. | en |
| dc.language.iso | eng | - |
| dc.publisher | IEEE | en |
| dc.rights | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en |
| dc.rights | This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 | en |
| dc.title | Nonlinear model reduction by deep autoencoder of noise response data | en |
| dc.type | conference paper | - |
| dc.type.niitype | Conference Paper | en |
| dc.identifier.jtitle | 2016 IEEE 55th Conference on Decision and Control (CDC) | en |
| dc.identifier.spage | 5750 | - |
| dc.identifier.epage | 5755 | - |
| dc.relation.doi | 10.1109/cdc.2016.7799153 | - |
| dc.textversion | author | - |
| dc.address | Graduate School of Informatics, Kyoto University・Japan Science and Technology Agency, CREST | en |
| dcterms.accessRights | open access | - |
| datacite.awardNumber | 26289130 | - |
| datacite.awardNumber.uri | https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-26289130/ | - |
| jpcoar.funderName | Japan Society for the Promotion of Science (JSPS) | en |
| jpcoar.awardTitle | 確率ゆらぎと相互作用し機能する制御系の設計論 : 不変測度解析と応用 | ja |
| jpcoar.conferenceName | The 55th IEEE Conference on Decision and Control | en |
| jpcoar.conferenceSponsor | Institute of Electrical and Electronics Engineers (IEEE) | en |
| jpcoar.conferenceDate | 12-14 Dec. 2016 | en |
| jpcoar.conferenceStartDate | 2016-12-12 | - |
| jpcoar.conferenceEndDate | 2016-12-14 | - |
| jpcoar.conferenceVenue | ARIA Resort & Casino | en |
| jpcoar.conferencePlace | Las Vegas, NV | en |
| jpcoar.conferenceCountry | USA | - |
| 出現コレクション: | 学術雑誌掲載論文等 | |
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