activity
20202024
most citedPhysics-guided neural networks for feedforward control with input-to-state stability guarantees

34 citations · 58 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

eess.SY2021★ 2 cited

Intermittent Sampling in Repetitive Control: Exploiting Time-Varying Measurements

Johan Kon, Nard Strijbosch, Sjirk Koekebakker +1

The performance increase up to the sensor resolution in repetitive control (RC) invalidates the standard assumption in RC that data is available at equidistant time instances, e.g.…

eess.SY2021★ 11 cited

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

Isaac A Spiegel, Nard Strijbosch, Tom Oomen +1

Output reference tracking can be improved by iteratively learning from past data to inform the design of feedforward control inputs for subsequent tracking attempts. This process i…