System identification for achieving robust performance

T.A.E. Oomen, O.H. Bosgra

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

26 Citaten (Scopus)
136 Downloads (Pure)

Samenvatting

The performance of robust controllers hinges on the underlying model set. The aim of the present paper is to develop a system identification procedure that enables the design of a controller that achieves optimal robust performance. Hereto, the complex interrelation between system identification and robust control is thoroughly analyzed and novel connections are established between (i) control-relevant and coprime factor identification and (ii) model uncertainty size and the control criterion. The key technical results include new robust-control-relevant and (Wu,Wy)-normalized coprime factorizations. The results enable the identification of multivariable model sets that achieve high robust performance in a subsequent robust control synthesis. Superiority of the proposed results compared to existing approaches is shown by means of an example.
Originele taal-2Engels
Pagina's (van-tot)1975-1987
Aantal pagina's13
TijdschriftAutomatica
Volume48
Nummer van het tijdschrift9
DOI's
StatusGepubliceerd - 2012

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