Young, Peter C. (1998) Data-based mechanistic modelling of engineering systems. Journal of Vibration and Control, 4 (1). pp. 5-28. ISSN 1741-2986Full text not available from this repository.
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.
|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|
|Deposited On:||11 Feb 2009 10:04|
|Last Modified:||17 Aug 2016 00:00|
Actions (login required)