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Fault detection based on robust adaptive thresholds: A dynamic interval approach.
- Source :
-
Annual Reviews in Control . Apr2013, Vol. 37 Issue 1, p119-128. 10p. - Publication Year :
- 2013
-
Abstract
- Abstract: A dynamic interval approach for the fast computation of robust adaptive thresholds for a class of uncertain linear systems is the subject of this paper. An extension of recent results about the design of stable interval observers for linear systems with additive time-varying zonotopic input bounds is proposed. It allows the explicit computation of adaptive thresholds ensuring a guaranteed robustness with respect to structured and bounded disturbances which can be not only additive but also multiplicative. Moreover, the constant term (center) of the uncertain time-varying state matrix need not be diagonalizable thanks to results based on a Jordan decomposition. A sufficient condition not only ensuring the stability of the initial uncertain model but also the nondivergence of the computed adaptive thresholds is given. A numerical example dealing with fault detection in an electrical drive illustrates the proposed scheme. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 13675788
- Volume :
- 37
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Annual Reviews in Control
- Publication Type :
- Academic Journal
- Accession number :
- 89104758
- Full Text :
- https://doi.org/10.1016/j.arcontrol.2013.04.001