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An Entropy-Like Estimator for Robust Parameter Identification

Dipartimento Ingegneria Innovazione, University of Salento, Via Monteroni s.n., 73100 Lecce, Italy
Entropy 2009, 11(4), 560-585; https://doi.org/10.3390/e11040560
Received: 7 September 2009 / Accepted: 23 September 2009 / Published: 12 October 2009
This paper describes the basic ideas behind a novel prediction error parameter identification algorithm exhibiting high robustness with respect to outlying data. Given the low sensitivity to outliers, these can be more easily identified by analysing the residuals of the fit. The devised cost function is inspired by the definition of entropy, although the method in itself does not exploit the stochastic meaning of entropy in its usual sense. After describing the most common alternative approaches for robust identification, the novel method is presented together with numerical examples for validation. View Full-Text
Keywords: system identification; model fitting; data processing system identification; model fitting; data processing
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Indiveri, G. An Entropy-Like Estimator for Robust Parameter Identification. Entropy 2009, 11, 560-585.

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