Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Copula Based Time Delay Estimation for Linear First Order System

Authors
Xuguang Wang, Wei Dong, Yan Zhang
Corresponding Author
Xuguang Wang
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.93How to use a DOI?
Keywords
time delay estimation(TDE); first order system; copula; dependence; system identification
Abstract

Time Delay is common and inevitable in the dynamic system. The accuracy of system identification will not be guaranteed if time delay is not accurately estimated or handled properly. Using the theory of dependency measurement, this paper studies the delay identification of SISO system. Firstly, the copula theory is introduced into time delay identification. Secondly, use dependency to measure the relationship of input and output signals and then estimate the time delay with this relationship, Finally, several first order system experiments are used to verify the proposed theory.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
10.2991/ammsa-17.2017.93
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.93How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xuguang Wang
AU  - Wei Dong
AU  - Yan Zhang
PY  - 2017/05
DA  - 2017/05
TI  - Copula Based Time Delay Estimation for Linear First Order System
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 414
EP  - 419
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.93
DO  - 10.2991/ammsa-17.2017.93
ID  - Wang2017/05
ER  -