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Abstract
In this paper the issue of continuous systems estimation, insensitive to certain perturbations, is discussed. Such an approach has rational advantages, especially when robust schemes are used to assist a target system responsible for industrial diagnostics. This requires that estimated model parameters are generated on-line, and their values are reliable and to a great extent accurate. Practical hints are suggested to challenge the consistency problem of estimates. In particular, the technique of instrumental variables can improve the asymptotic behavior of estimators. With a weighting mechanism, in turn, tracking the time-varying parameters of non-stationary processes is realistic. Yet, evident insensitivity to destructive outliers in the measurement data follows from the implemented estimation routine in the sense of the least sum of absolute errors. Finally, premises for a proper selection of excitation signals, as well as the directions of further research summarize the paper.
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Published in:
-
Advances in Intelligent Systems and Computing
no. 635,
pages 180 - 191,
ISSN: 2194-5357 - Title of issue:
- Advanced Solutions in Diagnostics and Fault Tolerant Control : International Conference on Diagnostics of Processes and Systems strony 180 - 191
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Kozłowski J., Kowalczuk Z.: Identification of Continuous Systems - Practical Issues of Insensitivity to Perturbations// Advanced Solutions in Diagnostics and Fault Tolerant Control/ ed. J.M. Kościelny, M. Syfert, A. Sztyber Switzerland: , 2018, s.180-191
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-64474-5_15
- Bibliography: test
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- Verified by:
- Gdańsk University of Technology
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