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 |
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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 | |
出版ステータス | Published - 2016 12月 27 |
イベント | 55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States 継続期間: 2016 12月 12 → 2016 12月 14 |
Other
Other | 55th IEEE Conference on Decision and Control, CDC 2016 |
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国/地域 | United States |
City | Las Vegas |
Period | 16/12/12 → 16/12/14 |
ASJC Scopus subject areas
- 人工知能
- 決定科学(その他)
- 制御と最適化