Artiklar med krav på offentlig åtkomst - Tom OomenLäs mer
Inte tillgängliga någonstans: 18
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
Krav: Netherlands Organisation for Scientific Research
Control-relevant neural networks for intelligent motion feedforward
L Aarnoudse, W Ohnishi, M Poot, P Tacx, N Strijbosch, T Oomen
2021 IEEE International Conference on Mechatronics (ICM), 1-6, 2021
Krav: Netherlands Organisation for Scientific Research
Improved local rational method by incorporating system knowledge: with application to mechanical and thermal dynamical systems
E Evers, B de Jager, T Oomen
IFAC-PapersOnLine 51 (15), 808-813, 2018
Krav: Netherlands Organisation for Scientific Research
Enhancing current density profile control in tokamak experiments using iterative learning control
F Felici, T Oomen
2015 54th IEEE Conference on Decision and Control (CDC), 5370-5377, 2015
Krav: Netherlands Organisation for Scientific Research
Beyond quantization in iterative learning control: Exploiting time-varying time-stamps
N Strijbosch, T Oomen
2019 American Control Conference (ACC), 2984-2989, 2019
Krav: Netherlands Organisation for Scientific Research
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
Krav: Netherlands Organisation for Scientific Research
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
Krav: Netherlands Organisation for Scientific Research, European Commission
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
Krav: Netherlands Organisation for Scientific Research
An approach to stable inversion of LPTV systems with application to a position-dependent motion system
J van Zundert, T Oomen
2017 American Control Conference (ACC), 4890-4895, 2017
Krav: Netherlands Organisation for Scientific Research
Tensor methods for MIMO decoupling using frequency response functions
J Stoev, T Oomen, J Schoukens
IFAC-PapersOnLine 49 (21), 447-453, 2016
Krav: Netherlands Organisation for Scientific Research, European Commission
Optimal experiment design for multi-variable motion systems: With application to a next-generation wafer stage
N Dirkx, J van de Wijdeven, T Oomen
IFAC-PapersOnLine 52 (15), 615-620, 2019
Krav: Netherlands Organisation for Scientific Research
Efficient MIMO iterative feedback tuning via randomization
L Aarnoudse, T Oomen
2023 62nd IEEE Conference on Decision and Control (CDC), 4512-4517, 2023
Krav: Netherlands Organisation for Scientific Research
Iterative robust experiment design for MIMO system identification via the S-lemma
N Dirkx, K Tiels, T Oomen
2023 IEEE Conference on Control Technology and Applications (CCTA), 998-1003, 2023
Krav: Netherlands Organisation for Scientific Research
Robotic control for vibration reduction of swinging products
R van der Kruk, AJ van Noorden, T Oomen, R van de Molengraft, ...
2023 IEEE International Conference on Mechatronics (ICM), 1-8, 2023
Krav: Netherlands Organisation for Scientific Research
Bode Analysis of Uncertain Multivariable Systems
P Tacx, T Oomen
2022 American Control Conference (ACC), 5056-5061, 2022
Krav: Netherlands Organisation for Scientific Research
Suppressing spatially distributed disturbances by exploiting additional sensors and actuators in inferential motion control
N Dirkx, T Oomen
2021 IEEE International Conference on Mechatronics (ICM), 1-6, 2021
Krav: Netherlands Organisation for Scientific Research
Sparse iterative learning control (SPILC): When to sample for resource-efficiency?
T Oomen, CR Rojas
2018 IEEE 15th International Workshop on Advanced Motion Control (AMC), 497-503, 2018
Krav: Netherlands Organisation for Scientific Research
Novel Disturbance Observer Relevant Parametric System Identification Based on Robust Stability Criterion
H Jung, P Tacx, T Oomen, S Oh
2023 IEEE Conference on Control Technology and Applications (CCTA), 1010-1015, 2023
Krav: Netherlands Organisation for Scientific Research
Tillgängliga någonstans: 188
On inversion-based approaches for feedforward and ILC
J van Zundert, T Oomen
Mechatronics 50, 282-291, 2018
Krav: Netherlands Organisation for Scientific Research
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, 2016
Krav: Netherlands Organisation for Scientific Research
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