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Type: Artigo de periódico
Title: Identification of Mechanical Systems through Kautz Filter
Author: Da Silva, S
Dias, M
Lopes, V
Abstract: This paper presents a novelty approach to estimate the impulse response function (IRF) in lightly damped structures by using classical covariance method. The contribution of the present paper is to employ a Kautz filter to reduce the number of terms in the identification process of a finite impulse response (FIR) model. The Kautz filter is an orthogonal function that includes complex pole pair. So, the method incorporates a priori knowledge into the process that is essential to reach better results and to minimize the number of coefficients in the FIR model. For this reason, the present approach can be classified as a kind of "grey-box" methodology. The numerical and experimental applications of the method confirmed that by considering a priori parametric information the problem can be determined more easily. Moreover, the procedure proposed increased the convergence speed, and, as a consequence the consuming computational cost is lower.
Subject: FIR models
orthonormal bases
Kautz filter
covariance method
Country: Inglaterra
Editor: Sage Publications Ltd
Rights: fechado
Identifier DOI: 10.1177/1077546308091458
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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