System identification for achieving robust performance

نویسندگان

  • Tom Oomen
  • Okko H. Bosgra
چکیده

The performance of robust controllers hinges on the underlyingmodel 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 ofmultivariablemodel sets that achieve high robust performance in a subsequent robust control synthesis. Superiority of the proposed results compared to existing approaches is shown bymeans of an example. © 2012 Elsevier Ltd. All rights reserved.

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عنوان ژورنال:
  • Automatica

دوره 48  شماره 

صفحات  -

تاریخ انتشار 2012