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System identification plays a key role in robust control, as not only it provides a nominal model for model‐based design, but also the estimate of the model uncertainty can be employed for guaranteeing robust stability and performance. In this paper, we investigate the use of kernel‐based identification methods in mixed‐sensitivity control, and we show that, using the uncertainty description returned...
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