書誌事項
- タイトル別名
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- Clustering based identification of piece-wise affine models for systems with friction
抄録
<p>This paper proposes an identification method of piece-wise affine(PWA) models for systems with friction. The friction compensation is generally based on a friction model. The identification method of conventional friction models requires many experiments for each parameters. The proposed method is able to identify PWA models from single experimental data using clustering methods. It’s known that PWA models have high approximation performance of not only hybrid systems but non-linear systems. The effectiveness of the proposed method and its comparison with the conventional method is illustrated by experiments using the linear drive unit equipped the ball screw.</p>
収録刊行物
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- 関西支部講演会講演論文集
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関西支部講演会講演論文集 2019.94 (0), 713-, 2019
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390845702282770944
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- NII論文ID
- 130007712903
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- ISSN
- 24242756
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可