Nard Strijbosch

20 papers C 2Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Control-relevant neural networks for feedforward control with preview: Applied to an industrial flatbed printer.
IFAC J. Syst. Control.
Leontine Aarnoudse, Johan Kon, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
2024 J jnl
Stable Inversion of Piecewise Affine Systems With Application to Feedforward and Iterative Learning Control.
IEEE Trans. Autom. Control.
Isaac A. Spiegel, Nard Strijbosch, Robin de Rozario, Tom Oomen, Kira Barton
2024 J jnl
Stable Inversion of Piecewise Affine Systems with Application to Feedforward and Iterative Learning Control.
CoRR
Isaac A. Spiegel, Nard Strijbosch, Robin de Rozario, Tom Oomen, Kira Barton
2023 J jnl
Memory-Element-Based Hysteresis: Identification and Compensation of a Piezoelectric Actuator.
IEEE Trans. Control. Syst. Technol.
Nard Strijbosch, Koen Tiels, Tom Oomen
2023 J jnl
Physics-guided neural networks for feedforward control with input-to-state stability guarantees.
CoRR
Max Bolderman, Hans Butler, Sjirk H. Koekebakker, Eelco van Horssen, Ramidin Kamidi, Theresa Spaan-Burke, Nard Strijbosch, Mircea Lazar
2022 C conf
A non-causal approach for suppressing the estimation delay of state observer.
ACC
Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Nard Strijbosch, Tom Oomen
2022 — conf
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach
CDC
Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
2022 J jnl
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach.
CoRR
Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
2022 J jnl
Hysteresis Feedforward Compensation: A Direct Tuning Approach Using Hybrid-MEM-Elements.
IEEE Control. Syst. Lett.
Nard Strijbosch, Koen Tiels, Tom Oomen
2022 J jnl
Iterative learning control for intermittently sampled data: Monotonic convergence, design, and applications.
Autom.
Nard Strijbosch, Tom Oomen
2021 J jnl
$\mathcal {L}_2$-Gain Analysis of Periodic Event-Triggered Control and Self-Triggered Control Using Lifting.
IEEE Trans. Autom. Control.
Nard Strijbosch, Geir E. Dullerud, Andrew R. Teel, W. P. M. H. Heemels
2021 — conf
Control- Relevant Neural Networks for Intelligent Motion Feedforward.
ICM
Leontine Aarnoudse, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
2021 — conf
Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements.
CDC
Johan Kon, Nard Strijbosch, Sjirk H. Koekebakker, Tom Oomen
2021 J jnl
Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements.
CoRR
Johan Kon, Nard Strijbosch, Sjirk H. Koekebakker, Tom Oomen
2021 J jnl
Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion.
CoRR
Isaac A. Spiegel, Nard Strijbosch, Tom Oomen, Kira Barton
2021 — conf
Multirate State Tracking for Improving Intersample Behavior in Iterative Learning Control.
ICM
Wataru Ohnishi, Nard Strijbosch, Tom Oomen
2020 J jnl
Commutation-Angle Iterative Learning Control for Intermittent Data: Enhancing Piezo-Stepper Actuator Waveforms.
CoRR
Leontine Aarnoudse, Nard Strijbosch, Edwin Verschueren, Tom Oomen
2020 — conf
Hybrid-MEM-Element Feedforward: With Application to Hysteretic Piezoelectric Actuators.
CDC
Nard Strijbosch, Tom Oomen
2019 C conf
Beyond Quantization in Iterative Learning Control: Exploiting Time-Varying Time-Stamps.
ACC
Nard Strijbosch, Tom Oomen
2019 — conf
Intermittent Sampling in Iterative Learning Control: a Monotonically-Convergent Gradient-Descent Approach with Application to Time Stamping.
CDC
Nard Strijbosch, Tom Oomen