Maximum Likelihood Estimation of Time Delay for First Order Linear System

DOI

10.2991/ammsa-17.2017.24How to use a DOI?

Keywords

time delay estimation; MLE; copula; parameter identification

Abstract

In the field of industrial control, the dynamic mathematical model of the main equipment or process of the system is established by the field data, which has become the hot spot of system identification at present. Due to various reasons from the industrial production process and means of measuring, the time delay is usually unavoidable in the process control system, if the phenomenon of time delay is not paid attention, which may lead to a sluggish response or even trigger instability. In this paper, maximum likelihood estimation of time delay is proposed for first order linear single-input-single-output (SISO) time delay system to estimate the time delay parameter. Comparative simulation experiments are provided to verify the justifiability and effectiveness of the proposed method.

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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TY  - CONF
AU  - Jie Su
AU  - Hui Lu
AU  - Xuguang Wang
PY  - 2017/05
DA  - 2017/05
TI  - Maximum Likelihood Estimation of Time Delay for First Order Linear System
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 113
EP  - 118
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.24
DO  - 10.2991/ammsa-17.2017.24
ID  - Su2017/05
ER  -