Noud Mooren
Zitiert von
Zitiert von
Gaussian process repetitive control for suppressing spatial disturbances
N Mooren, G Witvoet, T Oomen
IFAC-PapersOnLine 53 (2), 1487-1492, 2020
Gaussian process repetitive control: Beyond periodic internal models through kernels
N Mooren, G Witvoet, T Oomen
Automatica 140, 110273, 2022
Gaussian Processes for Advanced Motion Control
M Poot, J Portegies, N Mooren, M van Haren, M van Meer, T Oomen
IEEJ Journal of Industry Applications 11 (3), 396-407, 2022
Iterative learning control in high-performance motion systems: from theory to implementation
M Goubej, S Meeusen, N Mooren, T Oomen
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
How learning control supports industry 4.0 in semiconductor manufacturing
G van der Veen, J Stokkermans, N Mooren, T Oomen
ASPE Spring Topical Meeting on Design and Control of Precision Mechatronic …, 2020
Suppressing position-dependent disturbances in repetitive control: With application to a substrate carrier system
N Mooren, G Witvoet, I Açan, J Kooijman, T Oomen
2020 IEEE 16th International Workshop on Advanced Motion Control (AMC), 331-336, 2020
Feedforward Motion Control: From Batch-to-Batch Learning to Online Parameter Estimation
N Mooren, G Witvoet, T Oomen
2019 American Control Conference (ACC), 947-952, 2019
From Batch-to-Batch to Online Learning Control: Experimental Motion Control Case Study
N Mooren, G Witvoet, T Oomen
IFAC-PapersOnLine 52 (15), 406-411, 2019
Gaussian Process Repetitive Control With Application to an Industrial Substrate Carrier System With Spatial Disturbances
N Mooren, G Witvoet, T Oomen
IEEE Transactions on Control Systems Technology 31 (1), 344-358, 2022
Suppressing non-collocated disturbances in inferential motion control: with application to a wafer stage
N Dirkx, N Mooren, T Oomen
2021 American Control Conference (ACC), 4333-4338, 2021
Compensating quasi-static disturbances for inferential control: an observer-based approach applied to a wafer stage
N Mooren, R Voorhoeve, N Dirkx, T Oomen
Proceedings of the 2018 IEEJ International Workshop on Sensing, Actuation …, 2018
On‐line instrumental variable‐based feedforward tuning for non‐resetting motion tasks
N Mooren, G Witvoet, T Oomen
International Journal of Robust and Nonlinear Control, 2023
A Gaussian Process Approach to Multiple Internal Models in Repetitive Control
N Mooren, G Witvoet, T Oomen
2022 IEEE 17th International Conference on Advanced Motion Control (AMC …, 2022
How Learning Control Improves Product Quality in Semiconductor Assembly Equipment
G van der Veen, J Stokkermans, N Mooren, T Oomen
ASPE 2020 Spring–Design and Control of Precision Mechatronic Systems, 1-5, 2020
Gaussian Process Repetitive Control for Suppressing Spatial Disturbances: With Application to a Substrate Carrier System
N Mooren, G Witvoet, T Oomen
39th Benelux Meeting on Systems and Control, 106, 2020
Inferential control of a wafer stage using disturbance observers
NFM Mooren, NJ Dirkx, RJ Voorhoeve, TAE Oomen
37th Benelux Meeting on Systems and Control, 2018
Next-Generation Opto-mechatronic systems: control for free-space optical communication
G Witvoet, MR van Dael, RR Geraldes, M van Meer, N Mooren, P Tacx, ...
First JSPS-NWO Seminar Research Network on Learning in Machines: New …, 2023
Intelligent Mechatronics through Learning: from Gaussian Processes to Repetitive Control and Adaptive Feedforward
N Mooren
Compensating position-dependent disturbances in mechatronic systems: a new repetitive control framework with applications to a substrate carrier
N Mooren, G Witvoet, TAE Oomen
IEEE/ASME Transactions on Mechatronics 25 (2), 1083-4435, 2020
Data-Driven Feedforward Control for Mechatronic Systems: Analysis, New Approach and Application
N Mooren, G Witvoet, T Oomen
38th Benelux Meeting on Systems and Control, 2019
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