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A Dynamic Threshold Based Algorithm for Change Detection in Autonomous Systems. / Kalmuk, Alexander; Granichin, Oleg; Granichina, Olga; Ding, Mingyue.

в: IFAC Proceedings Volumes (IFAC-PapersOnline), Том 49, № 13, 2016, стр. 141-145.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Kalmuk, A, Granichin, O, Granichina, O & Ding, M 2016, 'A Dynamic Threshold Based Algorithm for Change Detection in Autonomous Systems', IFAC Proceedings Volumes (IFAC-PapersOnline), Том. 49, № 13, стр. 141-145.

APA

Kalmuk, A., Granichin, O., Granichina, O., & Ding, M. (2016). A Dynamic Threshold Based Algorithm for Change Detection in Autonomous Systems. IFAC Proceedings Volumes (IFAC-PapersOnline), 49(13), 141-145.

Vancouver

Kalmuk A, Granichin O, Granichina O, Ding M. A Dynamic Threshold Based Algorithm for Change Detection in Autonomous Systems. IFAC Proceedings Volumes (IFAC-PapersOnline). 2016;49(13):141-145.

Author

Kalmuk, Alexander ; Granichin, Oleg ; Granichina, Olga ; Ding, Mingyue. / A Dynamic Threshold Based Algorithm for Change Detection in Autonomous Systems. в: IFAC Proceedings Volumes (IFAC-PapersOnline). 2016 ; Том 49, № 13. стр. 141-145.

BibTeX

@article{4b102ee4cf5a41e0a4ef9e376a96ad19,
title = "A Dynamic Threshold Based Algorithm for Change Detection in Autonomous Systems",
abstract = "The paper deal with the detection of abrupt changes in dynamical systems in the presence of external noise. The system is considered as a black box. That is, it is supposed that nothing is known about, a structure and relations within the system, and we can just obtain the values of some parameters of the system. A new algorithm is proposed in the paper to deal with such highly uncertainty. At first, we use moving average with adaptive window size. then GLR (Generalized Likelihood Ratio) is used to detect; abrupt changes in the obtained data using an adaptive threshold. This approach is applied to slowdown detection of a small autonomous car with only accelerometer on the board. (C) 2016, IFAC (International Federation of Automatic Control) hosting by LIseviorLtd. All rights reserved.",
keywords = "Uncertain systems, Fault detection, Estimation",
author = "Alexander Kalmuk and Oleg Granichin and Olga Granichina and Mingyue Ding",
year = "2016",
language = "Английский",
volume = "49",
pages = "141--145",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "Elsevier",
number = "13",
note = "null ; Conference date: 29-06-2016 Through 01-07-2016",

}

RIS

TY - JOUR

T1 - A Dynamic Threshold Based Algorithm for Change Detection in Autonomous Systems

AU - Kalmuk, Alexander

AU - Granichin, Oleg

AU - Granichina, Olga

AU - Ding, Mingyue

PY - 2016

Y1 - 2016

N2 - The paper deal with the detection of abrupt changes in dynamical systems in the presence of external noise. The system is considered as a black box. That is, it is supposed that nothing is known about, a structure and relations within the system, and we can just obtain the values of some parameters of the system. A new algorithm is proposed in the paper to deal with such highly uncertainty. At first, we use moving average with adaptive window size. then GLR (Generalized Likelihood Ratio) is used to detect; abrupt changes in the obtained data using an adaptive threshold. This approach is applied to slowdown detection of a small autonomous car with only accelerometer on the board. (C) 2016, IFAC (International Federation of Automatic Control) hosting by LIseviorLtd. All rights reserved.

AB - The paper deal with the detection of abrupt changes in dynamical systems in the presence of external noise. The system is considered as a black box. That is, it is supposed that nothing is known about, a structure and relations within the system, and we can just obtain the values of some parameters of the system. A new algorithm is proposed in the paper to deal with such highly uncertainty. At first, we use moving average with adaptive window size. then GLR (Generalized Likelihood Ratio) is used to detect; abrupt changes in the obtained data using an adaptive threshold. This approach is applied to slowdown detection of a small autonomous car with only accelerometer on the board. (C) 2016, IFAC (International Federation of Automatic Control) hosting by LIseviorLtd. All rights reserved.

KW - Uncertain systems

KW - Fault detection

KW - Estimation

M3 - статья

VL - 49

SP - 141

EP - 145

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - 13

Y2 - 29 June 2016 through 1 July 2016

ER -

ID: 7608528