Ringwood, John, Davidson, Josh and Giorgi, Simone (2016) Identifying Models Using Recorded Data. In: Numerical Modelling of Wave Energy Converters. Academic Press, pp. 123-147. ISBN 9780128032107
Preview
JR-Identifying-2016.pdf
Download (1MB) | Preview
Abstract
The modelling approach presented in this chapter is that of system identification, where models are determined from input/output data measured from the system under study. Models identified from recorded wave energy converter (WEC) data can accurately describe WEC behaviour, provided the data is of a sufficiently high quality. The chapter details generating data for the system identification process and outlines the requirements of the data to ensure representative models are obtained. Different parametric model structures are presented, along with identification algorithms to determine the optimum parameter values for the models. A number of case studies illustrating the use of system identification to obtain numerical models of WECs are given.
Item Type: | Book Section |
---|---|
Keywords: | System identification; Hydrodynamic model; Optimization; Wave tank; CFD; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 9405 |
Identification Number: | 10.1016/B978-0-12-803210-7.00007-4 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 24 Apr 2018 14:13 |
Publisher: | Academic Press |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/9405 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year