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このアイテムのファイル:
| ファイル | 記述 | サイズ | フォーマット | |
|---|---|---|---|---|
| LCSYS.2023.3289269.pdf | 242.94 kB | Adobe PDF | 見る/開く |
| タイトル: | Differentiable Sparse Optimal Control |
| 著者: | Shima, Ryotaro Moriyasu, Ryuta Kawaguchi, Sho Kashima, Kenji    https://orcid.org/0000-0002-2963-2584 (unconfirmed) |
| 著者名の別形: | 加嶋, 健司 |
| 発行日: | 2023 |
| 出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
| 誌名: | IEEE Control Systems Letters |
| 巻: | 7 |
| 開始ページ: | 3126 |
| 終了ページ: | 3131 |
| 抄録: | This letter develops a framework for differentiating sparse optimal control inputs with respect to cost parameters. The difficulty lies in the non-smoothness induced by a sparsity-enhancing regularizer. To avoid this, we identify the optimal inputs as a unique zero point of a function using the proximal technique. This enables us to characterize the differentiability and employ the implicit function theorem. We also demonstrate the effectiveness of our approach using a numerical example of inverse optimal control. |
| 著作権等: | © 2023 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. 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。 |
| URI: | http://hdl.handle.net/2433/285326 |
| DOI(出版社版): | 10.1109/LCSYS.2023.3289269 |
| 出現コレクション: | 学術雑誌掲載論文等 |
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