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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.
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- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1515/amcs-2015-0017
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
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International Journal of Applied Mathematics and Computer Science
no. 25,
edition 2,
pages 223 - 232,
ISSN: 1641-876X - Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Kowalczuk Z., Kozłowski J.: On–line Parameter and Delay Estimation of Continuous–Time Dynamic Systems// International Journal of Applied Mathematics and Computer Science. -Vol. 25, iss. 2 (2015), s.223-232
- DOI:
- Digital Object Identifier (open in new tab) 10.1515/amcs-2015-0017
- Verified by:
- Gdańsk University of Technology
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