System identification and state estimation under lebesgue sampling: Use of inter-sample information

Takahiro Kawaguchi, Masaki Inoue, Ichiro Maruta, Shuichi Adachi

研究成果: Conference contribution

抄録

In conventional system identification and state estimation problems, it is commonly assumed that the output signal of a dynamical system is sampled at every regular time interval. This paper addresses the identification and estimation problems under the Lebesgue sampling, which is a type of event-triggered sampling such that the output signal is sampled only when it crosses a specific threshold. In this paper, it is assumed that the output signal is sampled under the Lebesgue sampling rule. Then, the time interval between two samples possesses information such that the signal crosses none of the thresholds during the interval. The inter-sample information plays a key role to improve the accuracy of modeling and estimation. The problems utilizing the information are formulated. We propose likelihood-based methods of both system identification and state estimation to solve the problems. The effectiveness of the methods are illustrated in numerical examples.

本文言語English
ホスト出版物のタイトル1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1408-1413
ページ数6
ISBN(電子版)9781509021826
DOI
出版ステータスPublished - 2017 10月 6
イベント1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States
継続期間: 2017 8月 272017 8月 30

出版物シリーズ

名前1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
2017-January

Other

Other1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
国/地域United States
CityKohala Coast
Period17/8/2717/8/30

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • ハードウェアとアーキテクチャ
  • ソフトウェア
  • 制御およびシステム工学

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