Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5776028 | Journal of Computational and Applied Mathematics | 2018 | 12 Pages |
Abstract
An improved algorithm for the estimation of physical parameters with sub-sampled and delayed data is here presented. It shows a much better accuracy than the state-of-the-art when the sampling time of data acquisition Ts is much higher than the discretization step Tsc that should be used to get a highly accurate discrete model, i.e. Tsâ«Tsc, which is a common situation in multi-body and finite-element modelling applications. Moreover, the method proposed is capable of compensating delays between different acquisition channels. For the numerical experiments we focus on a mainstream class of models in applied mechanics, i.e. linear elasto-dynamics.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Fabio Marcuzzi,