Data compression for estimation of the physical parameters of stable and unstable linear systems

Gawthrop, P.J. and Wang, L. (2005) Data compression for estimation of the physical parameters of stable and unstable linear systems. Automatica, 41(8), pp. 1313-1321. (doi: 10.1016/j.automatica.2005.03.013)

Abstract

A two-stage method for the identification of physical system parameters from experimental data is presented. The first stage compresses the data as an empirical model which encapsulates the data content at frequencies of interest. The second stage then uses data extracted from the empirical model of the first stage within a nonlinear estimation scheme to estimate the unknown physical parameters. Furthermore, the paper proposes use of exponential data weighting in the identification of partially unknown, unstable systems so that they can be treated in the same framework as stable systems. Experimental data are used to demonstrate the efficacy of the proposed approach.

• Item Type: Articles
• Additional Information: Final version as accepted by the Automatica supplied by the author.
• Keywords: Parameter estimation; Partially known systems; Basis function
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: UNSPECIFIED
• Authors: Gawthrop, P.J., and Wang, L.
• Subjects: T Technology > TJ Mechanical engineering and machinery
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Research Group: Centre for Systems and Control
• Journal Name: Automatica
• Publisher: Elsevier
• ISSN: 0005-1098
• Copyright Holders: Copyright © 2005 Elsevier Ltd
• First Published: First published in Automatica 41(8):1313-1321
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.