Linear estimation of physical parameters with subsampled and delayed data

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

卷:331

Article

Marcuzzi, Fabio¹ 

[1] Univ Padua, Dipartimento Matemat, Via Trieste 63, I-35121 Padua, Italy

关键词: System identification;    Parameter estimation;    State-space models;    Continuous-time models;    Elasto-dynamics;   

DOI  :  10.1016/j.cam.2017.09.036

来源: Elsevier

【 摘 要 】

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 T-s is much higher than the discretization step T-sc that should be used to get a highly accurate discrete model, i.e. T-s >> T-sc, 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. (C) 2017 Elsevier B.V. All rights reserved.

【 授权许可】

Free