CEC Faculty Articles

Title

Continuous-Time IO Systems Identification through Downsampled Models

Event Date/Location

Zurich, Switzerland

Document Type

Article

Date

7-2013

Publication Title

European Control Conference

ISSN or ISBN

978-3-033-03962-9

First Page

3421

Last Page

3426

Description

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.

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