Design of Pre-Filter Based on Kernel Regularization Method in VRFT
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- Kosaka Kouta
- Graduate School of Systems Design, Tokyo Metropolitan University
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- Masuda Shiro
- Graduate School of Systems Design, Tokyo Metropolitan University
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- Toyoda Mitsuru
- Graduate School of Systems Design, Tokyo Metropolitan University
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- Matsui Yoshihiro
- Department of Information Electronics, Faculty of Enginieering, Fukuoka Institute of Technology
Bibliographic Information
- Other Title
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- VRFTにおけるカーネル正則化に基づくプレフィルタの設計
Abstract
<p>This paper considers the VRFT (Virtual Reference Feedback Tuning), which is a data-driven controller parameter tuning method using one-shot input-output data, and aims to improve control performance in the case of using noisy data. The paper focuses on pre-filter designs for performance improvement on model matching properties, and proposes a kernel regularization method to mitigate the influence of the noise in the collected data. Furthermore, this paper shows how to determine the hyperparameters in the kernel as well. Finally, the effectiveness of the proposed method is demonstrated using numerical simulations.</p>
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 143 (3), 297-304, 2023-03-01
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390295270228056064
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- ISSN
- 13488155
- 03854221
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- KAKEN
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- Abstract License Flag
- Disallowed