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• W2132877957 abstract "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." @default.
• W2132877957 created "2016-06-24" @default.
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• W2132877957 date "2012-09-01" @default.
• W2132877957 modified "2023-10-05" @default.
• W2132877957 title "System identification for achieving robust performance" @default.
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• W2132877957 doi "https://doi.org/10.1016/j.automatica.2012.06.011" @default.
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