Rick van der Maas

According to our database, Rick van der Maas authored at least 10 papers between 2013 and 2017.

Collaborative distances:

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

2017

Accurate FRF Identification of LPV Systems: nD-LPM With Application to a Medical X-Ray System.

Rick van der Maas, Annemiek van der Maas, Robbert Voorhoeve, Tom Oomen

IEEE Trans. Control. Syst. Technol., 2017

2016

Frequency response function identification of LPV systems: A 2D-LRM approach with application to a medical X-ray system.

Annemiek van der Maas, Rick van der Maas, Robbert Voorhoeve, Tom Oomen

Proceedings of the 2016 American Control Conference, 2016

2015

Accurate frequency response function identification of LPV systems: A 2D local parametric modeling approach.

Rick van der Maas, Annemiek van der Maas, Tom Oomen

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

State estimations for application in diabetes control.

Annemiek van Rietschoten, Tarunraj Singh, Rick van der Maas

Proceedings of the American Control Conference, 2015

Time-delay pre-filter design for vibration free tracking of periodic reference signals.

Rick van der Maas, Tarunraj Singh, Maarten Steinbuch

Proceedings of the American Control Conference, 2015

Image-based estimation and nonparametric modeling: Towards enhanced geometric calibration of an X-ray system.

Rolf Gaasbeek, Rick van der Maas, Mark den Hartog, Bram de Jager

Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2014

Iterative Data-Driven ℋ_∞ Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation.

Tom Oomen, Rick van der Maas, Cristian R. Rojas, Håkan Hjalmarsson

IEEE Trans. Control. Syst. Technol., 2014

Improved automatic exposure control using morphology-based disturbance recognition.

Rolf Gaasbeek, Rick van der Maas, Mark den Hartog, Bram de Jager

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Iteratively learning the ℌ∞-norm of multivariable systems applied to model-error-modeling of a vibration isolation system.

Tom Oomen, Rick van der Maas, Cristian R. Rojas, Håkan Hjalmarsson

Proceedings of the American Control Conference, 2013

Model-based approach to minimize system calibrations for 3D reconstruction quality of a cone-beam CT system.

Rick van der Maas, Johan Dries, Bram de Jager, Maarten Steinbuch

Proceedings of the IEEE International Conference on Control Applications, 2013