Analytical identification of system parameter nonlinearly coupled in dynamic transition matrix

Bao Song; Xiaoxu Wang; Yan Liang; Quan Pan

doi:10.1109/ACC.2016.7525185

Analytical identification of system parameter nonlinearly coupled in dynamic transition matrix

Bao Song, Xiaoxu Wang, Yan Liang, Quan Pan

School of Automation

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

2 Scopus citations

Abstract

In this paper, we focus on the problem of parameter identification in a class of linear system, where system parameter (SP) is nonlinearly coupled in dynamic transition matrix (DTM), such as the well-known maneuvering target tracking with unknown turn rate. By regarding these elements nonlinearly parameterized by SP in DTM as a group of new multiplicative parameters (MP) linearly coupled with system state, the original SP identification problem is equivalently transferred into that of MP. By doing this, MP exhibits linearity characteristic so that we propose a new EM algorithm to analytically identify MP with both accuracy and efficiency, instead of SP. Finally, the efficacy of the proposed method is illustrated in an example of estimating the turn rate in maneuvering target tracking.

Original language	English
Title of host publication	2016 American Control Conference, ACC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1832-1837
Number of pages	6
ISBN (Electronic)	9781467386821
DOIs	https://doi.org/10.1109/ACC.2016.7525185
State	Published - 28 Jul 2016
Event	2016 American Control Conference, ACC 2016 - Boston, United States Duration: 6 Jul 2016 → 8 Jul 2016

Publication series

Name	Proceedings of the American Control Conference
Volume	2016-July
ISSN (Print)	0743-1619

Conference

Conference	2016 American Control Conference, ACC 2016
Country/Territory	United States
City	Boston
Period	6/07/16 → 8/07/16

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10.1109/ACC.2016.7525185

Cite this

Song, B., Wang, X., Liang, Y., & Pan, Q. (2016). Analytical identification of system parameter nonlinearly coupled in dynamic transition matrix. In 2016 American Control Conference, ACC 2016 (pp. 1832-1837). Article 7525185 (Proceedings of the American Control Conference; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2016.7525185

@inproceedings{7c7d6e4aad2a4645bc4810b295559180,

title = "Analytical identification of system parameter nonlinearly coupled in dynamic transition matrix",

abstract = "In this paper, we focus on the problem of parameter identification in a class of linear system, where system parameter (SP) is nonlinearly coupled in dynamic transition matrix (DTM), such as the well-known maneuvering target tracking with unknown turn rate. By regarding these elements nonlinearly parameterized by SP in DTM as a group of new multiplicative parameters (MP) linearly coupled with system state, the original SP identification problem is equivalently transferred into that of MP. By doing this, MP exhibits linearity characteristic so that we propose a new EM algorithm to analytically identify MP with both accuracy and efficiency, instead of SP. Finally, the efficacy of the proposed method is illustrated in an example of estimating the turn rate in maneuvering target tracking.",

author = "Bao Song and Xiaoxu Wang and Yan Liang and Quan Pan",

note = "Publisher Copyright: {\textcopyright} 2016 American Automatic Control Council (AACC).; 2016 American Control Conference, ACC 2016 ; Conference date: 06-07-2016 Through 08-07-2016",

year = "2016",

month = jul,

day = "28",

doi = "10.1109/ACC.2016.7525185",

language = "英语",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1832--1837",

booktitle = "2016 American Control Conference, ACC 2016",

}

Song, B, Wang, X , Liang, Y & Pan, Q 2016, Analytical identification of system parameter nonlinearly coupled in dynamic transition matrix. in 2016 American Control Conference, ACC 2016., 7525185, Proceedings of the American Control Conference, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 1832-1837, 2016 American Control Conference, ACC 2016, Boston, United States, 6/07/16. https://doi.org/10.1109/ACC.2016.7525185

Analytical identification of system parameter nonlinearly coupled in dynamic transition matrix. / Song, Bao; Wang, Xiaoxu ; Liang, Yan et al.
2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1832-1837 7525185 (Proceedings of the American Control Conference; Vol. 2016-July).

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

TY - GEN

T1 - Analytical identification of system parameter nonlinearly coupled in dynamic transition matrix

AU - Song, Bao

AU - Wang, Xiaoxu

AU - Liang, Yan

AU - Pan, Quan

PY - 2016/7/28

Y1 - 2016/7/28

N2 - In this paper, we focus on the problem of parameter identification in a class of linear system, where system parameter (SP) is nonlinearly coupled in dynamic transition matrix (DTM), such as the well-known maneuvering target tracking with unknown turn rate. By regarding these elements nonlinearly parameterized by SP in DTM as a group of new multiplicative parameters (MP) linearly coupled with system state, the original SP identification problem is equivalently transferred into that of MP. By doing this, MP exhibits linearity characteristic so that we propose a new EM algorithm to analytically identify MP with both accuracy and efficiency, instead of SP. Finally, the efficacy of the proposed method is illustrated in an example of estimating the turn rate in maneuvering target tracking.

AB - In this paper, we focus on the problem of parameter identification in a class of linear system, where system parameter (SP) is nonlinearly coupled in dynamic transition matrix (DTM), such as the well-known maneuvering target tracking with unknown turn rate. By regarding these elements nonlinearly parameterized by SP in DTM as a group of new multiplicative parameters (MP) linearly coupled with system state, the original SP identification problem is equivalently transferred into that of MP. By doing this, MP exhibits linearity characteristic so that we propose a new EM algorithm to analytically identify MP with both accuracy and efficiency, instead of SP. Finally, the efficacy of the proposed method is illustrated in an example of estimating the turn rate in maneuvering target tracking.

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DO - 10.1109/ACC.2016.7525185

M3 - 会议稿件

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T3 - Proceedings of the American Control Conference

SP - 1832

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BT - 2016 American Control Conference, ACC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 American Control Conference, ACC 2016

Y2 - 6 July 2016 through 8 July 2016

ER -

Analytical identification of system parameter nonlinearly coupled in dynamic transition matrix

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