@misc{Van_Den_Boom_Ton_J.J._Robust,
 author={Van Den Boom, Ton J.J. and De Vries, Rob A.J.},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={In this paper, a standard predictive control problem (SPCP) is formulated, which consists of one extended process description with a feedback uncertainty block. The most important finite horizon predictive control problems can be seen as special realizations of this SPCP. The SPCP and its solution are given in a state-space form.},
 abstract={The objective of the controller is a nominal performance subject to signal constraints and robust stability with respect to a I-norm bounded model uncertainty. The optimal controller consists of a feedforward part for nominal signal tracking and a feedback part for disturbance rejection and model error compensation.},
 abstract={The feedforward part is realized by the predictive controller for the nominal disturbance-free case. The feedback part of the controller is realized by using the Youla parametrization. The Youla parameter is optimized at every sample time in a receding horizon setting to cope with signal constraints and (robust stability) constraints on the operator itself.},
 type={artykuł},
 title={Robust predictive control using a time-varying youla parameter},
 keywords={predictive control, Youla parametrization, stability, robustness},
}