Nard Strijbosch
Nard Strijbosch
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Frequency domain design of iterative learning control and repetitive control for complex motion systems
NWA Strijbosch, LLG Blanken, TAE Oomen
4th IEEJ International Workshop on Sensing, Actuation, Motion Control, and …, 2018
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
-Gain Analysis of Periodic Event-Triggered Control and Self-Triggered Control Using Lifting
N Strijbosch, GE Dullerud, AR Teel, W Heemels
IEEE Transactions on Automatic Control 66 (8), 3749-3756, 2020
Iterative learning control for intermittently sampled data: Monotonic convergence, design, and applications
N Strijbosch, T Oomen
Automatica 139, 110171, 2022
Beyond quantization in iterative learning control: Exploiting time-varying time-stamps
N Strijbosch, T Oomen
2019 American Control Conference (ACC), 2984-2989, 2019
Commutation angle iterative learning control: Enhancing piezo-stepper actuator Waveforms
N Strijbosch, P Tacx, E Verschueren, T Oomen
IFAC-PapersOnLine 52 (15), 579-584, 2019
Multirate state tracking for improving intersample behavior in iterative learning control
W Ohnishi, N Strijbosch, T Oomen
2021 IEEE International Conference on Mechatronics (ICM), 01-06, 2021
Hybrid-MEM-element feedforward: With application to hysteretic piezoelectric actuators
N Strijbosch, T Oomen
2020 59th IEEE Conference on Decision and Control (CDC), 934-939, 2020
Hysteresis feedforward compensation: A direct tuning approach using hybrid-MEM-elements
N Strijbosch, K Tiels, T Oomen
IEEE Control Systems Letters 6, 1070-1075, 2021
Commutation-angle iterative learning control for intermittent data: Enhancing piezo-stepper actuator waveforms
L Aarnoudse, N Strijbosch, E Verschueren, T Oomen
IFAC-PapersOnLine 53 (2), 8585-8590, 2020
State‐tracking iterative learning control in frequency domain design for improved intersample behavior
W Ohnishi, N Strijbosch, T Oomen
International Journal of Robust and Nonlinear Control 33 (7), 4009-4027, 2023
Physics-guided neural networks for feedforward control with input-to-state-stability guarantees
M Bolderman, H Butler, S Koekebakker, E van Horssen, R Kamidi, ...
Control Engineering Practice 145, 105851, 2024
Monotonically convergent iterative learning control for piecewise affine systems
N Strijbosch, I Spiegel, K Barton, T Oomen
IFAC-PapersOnLine 53 (2), 1474-1479, 2020
Intermittent sampling in iterative learning control: a monotonically-convergent gradient-descent approach with application to time stamping
N Strijbosch, T Oomen
2019 IEEE 58th Conference on Decision and Control (CDC), 6542-6547, 2019
Multivariable iterative learning control: analysis and designs for engineering applications
L Blanken, J van Zundert, R de Rozario, N Strijbosch, T Oomen
Data-driven modeling, filtering and control: methods and applications, 109-138, 2019
Iterative learning control with discrete‐time nonlinear nonminimum phase models via stable inversion
IA Spiegel, N Strijbosch, T Oomen, K Barton
International Journal of Robust and Nonlinear Control 31 (16), 7985-8006, 2021
Long-range piezo-stepper actuators: Nanoscale accuracy through commutation-angle iterative learning control
LIM Aarnoudse, NWA Strijbosch, E Verschueren, TAE Oomen
ASPE 2020 Spring–Design and Control of Precision Mechatronic Systems, 2020
Memory-Element-Based Hysteresis: Identification and Compensation of a Piezoelectric Actuator
N Strijbosch, K Tiels, T Oomen
IEEE Transactions on Control Systems Technology, 2023
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach
L Aarnoudse, J Kon, K Classens, M van Meer, M Poot, P Tacx, ...
2022 IEEE 61st Conference on Decision and Control (CDC), 1485-1490, 2022
High Precision Sample Positioning in Electron Microscopes
N Strijbosch, E Verschueren, K Tiels, T Oomen
Mikroniek 4, 26-31, 2021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20