@misc{Tao_Xinyue_Predictive,
 author={Tao, Xinyue and Tao, Hongfeng and Gao, Luyuan and Paszke, Wojciech (1975- ) and Rogers, Eric},
 howpublished={online},
 language={eng},
 abstract={This paper develops a predictive optimal iterative learning control design for nonlinear systems based on the Koopman operator. Iterativa learning control applies to systems that make repeated executions, known as trials, over a finite duration, termed the trial length. Once a trial is complete, all information generated is available to update the control signal for the subsequent trial.},
 abstract={The first step in design is to approximately model the nonlinear system as a high-dimensional linear model using the Koopman operator and extended dynamic mode decomposition, which is applied on each trial.},
 abstract={Then, an iterative learning control law is designed with predictive action over an infinite duration in the trial-to-trial direction. The robust convergence of the tracking error is analyzed, and a numerical case study highlights the design`s effectiveness.},
 type={artykuł},
 title={Predictive Optimal Iterative Learning Control for Nonlinear Systems using the Koopman Operator},
 keywords={iterative learning control, nonlinear systems, Koopman operator, predictive action},
}