Continuous-time IO Systems Identification through Downsampled Models

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

P. Lopes dos Santos (Author) FEUP; Azevedo Perdicoulis, TP (Author) Other; Ramos, JA (Author) Other; Jank, G (Author) Other; Jorge Martins de Carvalho (Author) FEUP

Conference proceedings International

Title: 2013 EUROPEAN CONTROL CONFERENCE (ECC)

Pages: 3421-3426

European Control Conference (ECC)

Zurich, SWITZERLAND, JUL 17-19, 2013

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 2 Citations

Other information

Authenticus ID: P-009-40Y

Abstract (EN): An indirect downsampling approach for continuous-time input/output system identification is proposed. This modus operandi was introduced to system identification through a sub-space 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6