<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The problem of on-line identification of non-stationary delay systems is considered. The dynamics of supervised industrial processes are usually modeled by ordinary differential equations. Discrete-time mechanizations of continuous-time process models are implemented with the use of dedicated finite-horizon integrating filters. Least-squares and instrumental variable procedures mechanized in recursive forms are applied for simultaneous identification of input delay and spectral parameters of the system models. The performance of the proposed estimation algorithms is verified in an illustrative numerical simulation study.</p></abstract>

The problem of on-line identification of non-stationary delay systems is considered. The dynamics of supervised industrial processes are usually modeled by ordinary differential equations. Discrete-time mechanizations of continuous-time process models are implemented with the use of dedicated finite-horizon integrating filters. Least-squares and instrumental variable procedures mechanized in recursive forms are applied for simultaneous identification of input delay and spectral parameters of the system models. The performance of the proposed estimation algorithms is verified in an illustrative numerical simulation study.

On-line parameter and delay estimation of continuous-time dynamic systems

Department of Robotics and Decision Systems Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"On-line parameter and delay estimation of continuous-time dynamic systems"}

The problem of on-line identification of non-stationary delay systems is considered. The dynamics of supervised industrial processes are usually modeled by...

On-line parameter and delay estimation of continuous-time dynamic systems

Published Online: Jun 25, 2015

Page range: 223 - 232

Received: Nov 03, 2014

DOI: https://doi.org/10.1515/amcs-2015-0017

© by Zdzisław Kowalczuk

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.