Batch-to-Batch Rational Feedforward Control: from Iterative Learning to Identification Approaches, with Application to a Wafer Stage L Blanken, F Boeren, D Bruijnen, T Oomen IEEE/ASME Transactions on Mechatronics 22 (2), 826-837, 2017 | 98 | 2017 |
Kernel-based identification of non-causal systems with application to inverse model control L Blanken, T Oomen Automatica 114, 108830, 2020 | 47 | 2020 |
Multivariable iterative learning control design procedures: From decentralized to centralized, illustrated on an industrial printer L Blanken, T Oomen IEEE Transactions on Control Systems Technology 28 (4), 1534-1541, 2019 | 47 | 2019 |
Optimal estimation of rational feedforward control via instrumental variables: With application to a wafer stage F Boeren, L Blanken, D Bruijnen, T Oomen Asian Journal of Control 20 (3), 975-992, 2018 | 27 | 2018 |
Multivariable Repetitive Control: Decentralized Designs with Application to Continuous Media Flow Printing L Blanken, S Koekebakker, T Oomen IEEE/ASME Transactions on Mechatronics, 2019 | 26 | 2019 |
Design techniques for multivariable ILC: Application to an industrial flatbed printer L Blanken, J Willems, S Koekebakker, T Oomen IFAC-PapersOnLine 49 (21), 213-221, 2016 | 25 | 2016 |
Frequency Domain Design of Iterative Learning Control and Repetitive Control for Complex Motion Systems N Strijbosch, L Blanken, T Oomen IEEJ International Workshop on Sensing, Actuation, Motion Control, and …, 2018 | 23 | 2018 |
Flexible ILC: towards a convex approach for non-causal rational basis functions L Blanken, G Isil, S Koekebakker, T Oomen IFAC-PapersOnLine 50 (1), 12107-12112, 2017 | 23 | 2017 |
Rational iterative feedforward tuning: Approaches, stable inversion, and experimental comparison L Blanken, F Boeren, D Bruijnen, T Oomen 2016 American Control Conference (ACC), 2629-2634, 2016 | 21 | 2016 |
Data-driven feedforward tuning using non-causal rational basis functions: With application to an industrial flatbed printer L Blanken, S Koekebakker, T Oomen Mechatronics 71, 102424, 2020 | 20 | 2020 |
Sequential Multi-Period Repetitive Control Design with Application to Industrial Wide-Format Printing L Blanken, P Bevers, S Koekebakker, T Oomen IEEE/ASME Transactions on Mechatronics, 2020 | 20 | 2020 |
Data-Driven Feedforward Learning using Non-Causal Rational Basis Functions: Application to an Industrial Flatbed Printer L Blanken, G Isil, S Koekebakker, T Oomen 2018 IEEE American Control Conference, 2018 | 18 | 2018 |
Multivariable repetitive control design framework applied to flatbed printing with continuous media flow L Blanken, T Hazelaar, S Koekebakker, T Oomen 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 4727-4732, 2017 | 18 | 2017 |
Advanced feedforward and learning control for mechatronic systems L Blanken, R de Rozario, J van Zundert, S Koekebakker, M Steinbuch, ... Proc. 3rd DSPE Conf. Prec. Mech, 79-86, 2016 | 18 | 2016 |
Learning and Repetitive Control for Complex Systems: With Application to Large-Format Printers L Blanken Eindhoven University of Technology, 2019 | 16 | 2019 |
Optimal estimation of rational feedforward controllers: an instrumental variable approach F Boeren, L Blanken, D Bruijnen, T Oomen 2015 IEEE 54th Conference on Decision and Control (CDC), 6058-6063, 2015 | 13 | 2015 |
Inverse System Estimation for Feedforward: A Kernel-Based Approach for Non-Causal Systems L Blanken, I van den Meijdenberg, T Oomen IFAC-PapersOnLine 51 (15), 1050-1055, 2018 | 9 | 2018 |
Design and modeling aspects in multivariable iterative learning control L Blanken, S Koekebakker, T Oomen 2016 IEEE 55th Conference on Decision and Control (CDC), 5502-5507, 2016 | 9 | 2016 |
Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach M van Haren, L Blanken, T Oomen 2022 IEEE 61st Conference on Decision and Control (CDC), 2795-2800, 2022 | 5 | 2022 |
Beyond Nyquist in frequency response function identification: Applied to slow-sampled systems M Van Haren, L Mirkin, L Blanken, T Oomen IEEE Control Systems Letters 7, 2131-2136, 2023 | 4 | 2023 |