Nard Strijbosch

According to our database, Nard Strijbosch authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Memory-Element-Based Hysteresis: Identification and Compensation of a Piezoelectric Actuator.

Nard Strijbosch, Koen Tiels, Tom Oomen

IEEE Trans. Control. Syst. Technol., November, 2023

Physics-guided neural networks for feedforward control with input-to-state stability guarantees.

Max Bolderman, Hans Butler, Sjirk H. Koekebakker, Eelco van Horssen, Ramidin Kamidi, Theresa Spaan-Burke, Nard Strijbosch, Mircea Lazar

CoRR, 2023

2022

Hysteresis Feedforward Compensation: A Direct Tuning Approach Using Hybrid-MEM-Elements.

Nard Strijbosch, Koen Tiels, Tom Oomen

IEEE Control. Syst. Lett., 2022

Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach.

Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen

CoRR, 2022

Iterative learning control for intermittently sampled data: Monotonic convergence, design, and applications.

Nard Strijbosch, Tom Oomen

Autom., 2022

Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach ^*.

Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

A non-causal approach for suppressing the estimation delay of state observer.

Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Nard Strijbosch, Tom Oomen

Proceedings of the American Control Conference, 2022

2021

$\mathcal {L}_2$-Gain Analysis of Periodic Event-Triggered Control and Self-Triggered Control Using Lifting.

Nard Strijbosch, Geir E. Dullerud, Andrew R. Teel, W. P. M. H. Heemels

IEEE Trans. Autom. Control., 2021

Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion.

Isaac A. Spiegel, Nard Strijbosch, Tom Oomen, Kira Barton

CoRR, 2021

Multirate State Tracking for Improving Intersample Behavior in Iterative Learning Control.

Wataru Ohnishi, Nard Strijbosch, Tom Oomen

Proceedings of the IEEE International Conference on Mechatronics, 2021

Control- Relevant Neural Networks for Intelligent Motion Feedforward.

Leontine Aarnoudse, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen

Proceedings of the IEEE International Conference on Mechatronics, 2021

Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements.

Johan Kon, Nard Strijbosch, Sjirk H. Koekebakker, Tom Oomen

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Commutation-Angle Iterative Learning Control for Intermittent Data: Enhancing Piezo-Stepper Actuator Waveforms.

Leontine Aarnoudse, Nard Strijbosch, Edwin Verschueren, Tom Oomen

CoRR, 2020

Hybrid-MEM-Element Feedforward: With Application to Hysteretic Piezoelectric Actuators.

Nard Strijbosch, Tom Oomen

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Intermittent Sampling in Iterative Learning Control: a Monotonically-Convergent Gradient-Descent Approach with Application to Time Stamping.

Nard Strijbosch, Tom Oomen

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Beyond Quantization in Iterative Learning Control: Exploiting Time-Varying Time-Stamps.

Nard Strijbosch, Tom Oomen

Proceedings of the 2019 American Control Conference, 2019

2017

L2-gain analysis of periodic event-triggered systems with varying delays using lifting techniques.

N. W. A. Strijbosch, Geir E. Dullerud, Andrew R. Teel, W. P. Maurice H. Heemels

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017