@misc{Tao_Hongfeng_Repetitive,
 author={Tao, Hongfeng and Zheng, Junhao and Wei, Junyu and Paszke, Wojciech (1975- ) and Rogers, Eric and Stojanovic, Vladimir},
 howpublished={online},
 language={eng},
 abstract={This paper develops an indirect iterative learning control scheme for batch processes with time-varying uncertainties, input delay, and disturbances. In this paper, a predictor based on a state observer is designed to estimate the future state and to compensate for the input delay.},
 abstract={Then a feedback controller based on the estimated state and the set-point error is used to track the specified reference trajectory, where, of the options available, a robust H? controller is designed in the presence of time-varying uncertainties and load disturbances.},
 abstract={Then a proportional plus derivative type iterative learning control law is designed. An injection molding process model demonstrates the new method`s effectiveness, and a comparison with a direct-type design is given. In this alternative approach, all design objectives are simultaneously considered.},
 type={artykuł},
 title={Repetitive process based indirect-type iterative learning control for batch processes with model uncertainty and input delay},
 keywords={batch processes, iterative learning control, input-delay, repetitive processes, robust H? control, linear matrix inequality},
}