System identification under Lebesgue sampling and its asymptotic property

Takahiro Kawaguchi; Sosaburo Hikono; Ichiro Maruta; Shuichi Adachi

doi:10.1109/CDC.2016.7798570

System identification under Lebesgue sampling and its asymptotic property

Takahiro Kawaguchi, Sosaburo Hikono, Ichiro Maruta, Shuichi Adachi

物理情報工学科

研究成果: Conference contribution

抄録

In system identification, the more data is collected, the more accurate model is obtained. However, under limited communication bandwidth or computational resources, it is sometimes difficult to collect and store all the measured data, so it is desired to collect and store only useful data for improving model accuracy. This paper focuses on Lebesgue sampling, which uses thresholds on signal level for triggering sampler and proposes a system identification method with using information obtained in intervals between Lebesgue sampled data. The asymptotic variance of the estimated parameter is analyzed and effectiveness of the proposed method is examined through numerical examples.

本文言語	English
ホスト出版物のタイトル	2016 IEEE 55th Conference on Decision and Control, CDC 2016
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	2079-2084
ページ数	6
ISBN（電子版）	9781509018376
DOI	https://doi.org/10.1109/CDC.2016.7798570
出版ステータス	Published - 2016 12 27
イベント	55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States 継続期間: 2016 12 12 → 2016 12 14

Other

Other	55th IEEE Conference on Decision and Control, CDC 2016
Country	United States
City	Las Vegas
Period	16/12/12 → 16/12/14

ASJC Scopus subject areas

Artificial Intelligence
Decision Sciences (miscellaneous)
Control and Optimization

文献へのアクセス

10.1109/CDC.2016.7798570

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引用スタイル

Kawaguchi, T, Hikono, S, Maruta, I & Adachi, S 2016, System identification under Lebesgue sampling and its asymptotic property. in 2016 IEEE 55th Conference on Decision and Control, CDC 2016., 7798570, Institute of Electrical and Electronics Engineers Inc., pp. 2079-2084, 55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, United States, 16/12/12. https://doi.org/10.1109/CDC.2016.7798570

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