CCE Faculty Articles
Continuous-Time IO Systems Identification through Downsampled Models
Document Type
Article
Publication Title
European Control Conference
Event Date/Location
Zurich, Switzerland
ISSN
978-3-033-03962-9
Publication Date
7-2013
Abstract
An indirect downsampling approach for continuous-time input/output system identification is proposed. This modus operandi was introduced to system identification through a subspace algorithm, where the input/output data set is partitioned into lower rate m subsets. Then, a state-space discrete-time model is identified by fusing the data subsets into a single one. In the present work the identification of the input/output downsampled model is performed by a least squares and a simplified refined instrumental variables (IV) procedures. In this approach, the inter-sample behaviour is preserved by the addition of fictitious inputs, leading to an increase of excitation requirements of the input signal. This over requirement is removed by directly estimating from the data the parameters of the transfer function numerator. The performance of the method is illustrated using the Rao-Garnier test system.
First Page
3421
Last Page
3426
NSUWorks Citation
Ramos, Jose A.; Lopes dos Santos, Paulo; Azevedo Perdicoulis, Teresa Paula; Martins de Carvalho, Jorge L.; and Jank, Gerhard, "Continuous-Time IO Systems Identification through Downsampled Models" (2013). CCE Faculty Articles. 413.
https://nsuworks.nova.edu/gscis_facarticles/413
