@misc{Maniarski_Robert_Robust,
 author={Maniarski, Robert and Paszke, Wojciech (1975- ) and Hao, Shoulin and Tao, Hongfeng},
 howpublished={online},
 language={eng},
 abstract={This paper develops PD-type iterative learning control schemes for a class of uncertain batch processes subject to nonrepetitive disturbances. By means of two-dimensional/repetitive setting, the sufficient conditions for batch-to-batch error convergence and \$\mathcal\{H\}_\{\infty\}\$ disturbance attenuation are formulated and analyzed. Subsequently, the procedure for computing the desired control law matrices is formulated in terms of solvability of linear matrix inequalities.},
 abstract={The proposed control law is able to fulfil the imposed design specifications, i.e., they are suitable for the batch processes with time-varying uncertainties as well as non-repetitive disturbances. An illustrative example is used to validate the proposed control scheme and demonstrates a possible applicability of the developed results.},
 title={Robust PD-type iterative learning control design for uncertain batch processes subject to nonrepetitive disturbances},
 keywords={iterative learning control, batch processes, robust control, nonrepetitive uncertainty},
}