Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Data-based mechanistic modelling of engineering systems.
AU - Young, Peter C.
PY - 1998/1
Y1 - 1998/1
N2 - 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.
AB - 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.
KW - Identification • estimation • linear and nonlinear systems • state dependent parameters • vibrating beam
U2 - 10.1177/107754639800400102
DO - 10.1177/107754639800400102
M3 - Journal article
VL - 4
SP - 5
EP - 28
JO - Journal of Vibration and Control
JF - Journal of Vibration and Control
SN - 1741-2986
IS - 1
ER -