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Data-based mechanistic modelling of engineering systems.

Young, Peter C. (1998) Data-based mechanistic modelling of engineering systems. Journal of Vibration and Control, 4 (1). pp. 5-28.

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Abstract

This paper outlines a new approach to the statistical identification and estimation of dynamic models for a widely applicable class of linear and nonlinear systems based on a combination of nonparametric and parametric estimation procedures. The new approach is applied to three systems: a chaotic version of the discrete-time logistic growth equation; a continuous-time, second-order nonlinear system with two feedback nonlinearities; and a predominantly linear but high-order, vibrating cantilever beam.

Item Type: Article
Journal or Publication Title: Journal of Vibration and Control
Uncontrolled Keywords: Identification • estimation • linear and nonlinear systems • state dependent parameters • vibrating beam
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Departments: Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 21890
Deposited By: ep_ss_importer
Deposited On: 11 Feb 2009 10:04
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 15:53
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/21890

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