Young, Peter C. (1998) Data-based mechanistic modelling of engineering systems. Journal of Vibration and Control, 4 (1). pp. 5-28.
Full text not available from this repository.Official URL: http://dx.doi.org/10.1177/107754639800400102
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 |
Actions (login required)
| View Item |
