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Neural-network-based nonlinear iterative learning control: Magnetic brake study.

, and . IJCNN, page 1-7. IEEE, (2021)

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Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems., , and . ICARCV, page 449-454. IEEE, (2022)D-optimal trajectory design of heterogeneous mobile sensors for parameter estimation of distributed systems., , , and . ACC, page 663-668. IEEE, (2008)Iterative learning control for vacuum heat treatment process., , and . MMAR, page 47-52. IEEE, (2022)Neural-network-based nonlinear iterative learning control: Magnetic brake study., and . IJCNN, page 1-7. IEEE, (2021)Optimal scheduling of mobile sensor networks for detection and localization of stationary contamination sources., and . FUSION, page 1-7. IEEE, (2008)Application of Iterative Learning Methods to Control of a LEGO Wheeled Mobile Robot., , and . MMAR, page 126-131. IEEE, (2018)Selection of Training Data for Locally Recurrent Neural Network., and . ICANN (2), volume 6353 of Lecture Notes in Computer Science, page 134-137. Springer, (2010)Cost-constrained D-optimum node activation for large-scale monitoring networks., and . ACC, page 1643-1648. IEEE, (2016)Sequential design for model calibration in iterative learning control of DC motor., , , and . MMAR, page 794-799. IEEE, (2015)A Parallel Sensor Scheduling Technique for Fault Detection in Distributed Parameter Systems.. Euro-Par, volume 5168 of Lecture Notes in Computer Science, page 833-843. Springer, (2008)