Nard Strijbosch

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Error Back Propagation

Iterative Learning Control

Top Venues

Publications

Leontine Aarnoudse, Johan Kon, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
Control-relevant neural networks for feedforward control with preview: Applied to an industrial flatbed printer. IFAC J. Syst. Control. 27 (2024)
Isaac A. Spiegel, Nard Strijbosch, Robin de Rozario, Tom Oomen, Kira Barton
Stable Inversion of Piecewise Affine Systems with Application to Feedforward and Iterative Learning Control. CoRR (2024)
Max Bolderman, Hans Butler, Sjirk H. Koekebakker, Eelco van Horssen, Ramidin Kamidi, Theresa Spaan-Burke, Nard Strijbosch, Mircea Lazar
Physics-guided neural networks for feedforward control with input-to-state stability guarantees. CoRR (2023)
Nard Strijbosch, Koen Tiels, Tom Oomen
Memory-Element-Based Hysteresis: Identification and Compensation of a Piezoelectric Actuator. IEEE Trans. Control. Syst. Technol. 31 (6) (2023)
Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach. CoRR (2022)
Leontine Aarnoudse, Johan Kon, Koen Classens, Max van Meer, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
. CDC (2022)
Kentaro Tsurumoto, Wataru Ohnishi, Takafumi Koseki, Nard Strijbosch, Tom Oomen
A non-causal approach for suppressing the estimation delay of state observer. ACC (2022)
Nard Strijbosch, Koen Tiels, Tom Oomen
Hysteresis Feedforward Compensation: A Direct Tuning Approach Using Hybrid-MEM-Elements. IEEE Control. Syst. Lett. 6 (2022)
Nard Strijbosch, Tom Oomen
Iterative learning control for intermittently sampled data: Monotonic convergence, design, and applications. Autom. 139 (2022)
Isaac A. Spiegel, Nard Strijbosch, Tom Oomen, Kira Barton
Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion. CoRR (2021)
Wataru Ohnishi, Nard Strijbosch, Tom Oomen
Multirate State Tracking for Improving Intersample Behavior in Iterative Learning Control. ICM (2021)
Johan Kon, Nard Strijbosch, Sjirk H. Koekebakker, Tom Oomen
Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements. CDC (2021)
Leontine Aarnoudse, Wataru Ohnishi, Maurice Poot, Paul Tacx, Nard Strijbosch, Tom Oomen
Control- Relevant Neural Networks for Intelligent Motion Feedforward. ICM (2021)
Nard Strijbosch, Geir E. Dullerud, Andrew R. Teel, W. P. M. H. Heemels
$\mathcal {L}_2$-Gain Analysis of Periodic Event-Triggered Control and Self-Triggered Control Using Lifting. IEEE Trans. Autom. Control. 66 (8) (2021)
Johan Kon, Nard Strijbosch, Sjirk H. Koekebakker, Tom Oomen
Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements. CoRR (2021)
Nard Strijbosch, Tom Oomen
Hybrid-MEM-Element Feedforward: With Application to Hysteretic Piezoelectric Actuators. CDC (2020)
Leontine Aarnoudse, Nard Strijbosch, Edwin Verschueren, Tom Oomen
Commutation-Angle Iterative Learning Control for Intermittent Data: Enhancing Piezo-Stepper Actuator Waveforms. CoRR (2020)
Nard Strijbosch, Tom Oomen
Beyond Quantization in Iterative Learning Control: Exploiting Time-Varying Time-Stamps. ACC (2019)
Nard Strijbosch, Tom Oomen
Intermittent Sampling in Iterative Learning Control: a Monotonically-Convergent Gradient-Descent Approach with Application to Time Stamping. CDC (2019)