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

Takahiro Kawaguchi, Masaki Inoue, Ichiro Maruta, Shuichi Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1408-1413
Number of pages6
Volume2017-January
ISBN (Electronic)9781509021826
DOIs
Publication statusPublished - 2017 Oct 6
Event1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States
Duration: 2017 Aug 272017 Aug 30

Other

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Hardware and Architecture
  • Software
  • Control and Systems Engineering

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    Kawaguchi, T., Inoue, M., Maruta, I., & Adachi, S. (2017). System identification and state estimation under lebesgue sampling: Use of inter-sample information. In 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 (Vol. 2017-January, pp. 1408-1413). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCTA.2017.8062656