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Data-based mechanistic modelling of engineering systems.

Research output: Contribution to journalJournal article


<mark>Journal publication date</mark>01/1998
<mark>Journal</mark>Journal of Vibration and Control
Number of pages24
<mark>Original language</mark>English


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.