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Comparative Study of Model-Free Predictive Control and Its Database Maintenance for Unstable Systems
https://doi.org/10.24517/00009417
https://doi.org/10.24517/00009417b288cbae-470d-4aad-884a-cc77bd875860
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-YAMAMOTO-S-390.pdf (661.5 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||
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| 公開日 | 2017-10-03 | |||||||
| タイトル | ||||||||
| タイトル | Comparative Study of Model-Free Predictive Control and Its Database Maintenance for Unstable Systems | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
| 資源タイプ | journal article | |||||||
| ID登録 | ||||||||
| ID登録 | 10.24517/00009417 | |||||||
| ID登録タイプ | JaLC | |||||||
| 著者 |
Saputra, Herlambang
× Saputra, Herlambang× Yamamoto, Shigeru |
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| 著者別表示 |
山本, 茂
× 山本, 茂
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| 提供者所属 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 金沢大学融合研究域融合科学系 | |||||||
| 書誌情報 |
SICE Journal of Control, Measurement, and System Integration 巻 8, 号 6, p. 390-395, 発行日 2015-01-01 |
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| ISSN | ||||||||
| 収録物識別子タイプ | ISSN | |||||||
| 収録物識別子 | 1882-4889 | |||||||
| NCID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AA12293218 | |||||||
| DOI | ||||||||
| 関連タイプ | isIdenticalTo | |||||||
| 識別子タイプ | DOI | |||||||
| 関連識別子 | 10.9746/jcmsi.8.390 | |||||||
| 出版者 | ||||||||
| 出版者 | Society of Instrument and Control Engineers = 計測自動制御学会 | |||||||
| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | This study provides a comparison of three methods, i.e., standard locally weighted averaging (LWA), least-norm solutions, and l1-minimization, for model-free predictive control based on Just-In-Time modeling and database maintenance for an unstable system. In contrast to conventional model predictive control, the model-free predictive control method does not use any mathematical model; rather, it uses the past input/output data stored in a database. Although conventional stabilizing feedback is used to obtain the input/output data of an unstable system, model-free predictive control is assumed to be used without it. Three methods based on standard LWA, least-norm solutions, and l1-minimization are statistically compared using a simple model. The results show that the methods of least-norm solutions and l1-minimization are superior to that of LWA. The method by l1-minimization yields tracking errors smaller than that by least-norm solutions; however, the method by l1-minimization requires a long computational time. In addition, the effectiveness of a method of database maintenance is illustrated by numerical simulations. | |||||||
| 権利 | ||||||||
| 権利情報 | Copyright © 2015 The Society of Instrument and Control Engineers | |||||||
| 著者版フラグ | ||||||||
| 出版タイプ | VoR | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
| 関連URI | ||||||||
| 識別子タイプ | URI | |||||||
| 関連識別子 | http://www.sice.jp/ | |||||||
| 関連URI | ||||||||
| 識別子タイプ | URI | |||||||
| 関連識別子 | https://www.jstage.jst.go.jp/browse/jcmsi | |||||||
