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

Takahiro Kawaguchi; Masaki Inoue; Ichiro Maruta; Shuichi Adachi

doi:10.1109/CCTA.2017.8062656

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

Takahiro Kawaguchi, Masaki Inoue, Ichiro Maruta, Shuichi Adachi

Department of Applied Physics and Physico-Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1408-1413
Number of pages	6
ISBN (Electronic)	9781509021826
DOIs	https://doi.org/10.1109/CCTA.2017.8062656
Publication status	Published - 2017 Oct 6
Event	1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States Duration: 2017 Aug 27 → 2017 Aug 30

Publication series

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

Other

Other	1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
Country	United States
City	Kohala Coast
Period	17/8/27 → 17/8/30

ASJC Scopus subject areas

Theoretical Computer Science
Hardware and Architecture
Software
Control and Systems Engineering

Access to Document

10.1109/CCTA.2017.8062656

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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 (pp. 1408-1413). (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCTA.2017.8062656

System identification and state estimation under lebesgue sampling : Use of inter-sample information. / Kawaguchi, Takahiro; Inoue, Masaki; Maruta, Ichiro; Adachi, Shuichi.

1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1408-1413 (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1408-1413, 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017, Kohala Coast, United States, 17/8/27. https://doi.org/10.1109/CCTA.2017.8062656

Kawaguchi T, Inoue M, Maruta I, Adachi S. 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. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1408-1413. (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017). https://doi.org/10.1109/CCTA.2017.8062656

Kawaguchi, Takahiro ; Inoue, Masaki ; Maruta, Ichiro ; Adachi, Shuichi. / System identification and state estimation under lebesgue sampling : Use of inter-sample information. 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1408-1413 (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017).

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