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Theo J. A. de Vries
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- affiliation: University of Twente, Enschede, The Netherlands
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2010 – 2019
- 2018
- [j7]Gennaro Raiola
, Carlos Alberto Cardenas, Tadele Shiferaw Tadele
Development of a Safety- and Energy-Aware Impedance Controller for Collaborative Robots. IEEE Robotics Autom. Lett. 3(2): 1237-1244 (2018) - 2016
- [c13]Douwe Dresscher, Theo J. A. de Vries, Stefano Stramigioli
Motor-gearbox selection for energy efficiency. AIM 2016: 669-675 - 2015
- [c12]Douwe Dresscher, Theo J. A. de Vries, Stefano Stramigioli
A novel concept for a translational continuously variable transmission. AIM 2015: 1309-1315 - [c11]Douwe Dresscher, Theo J. A. de Vries, Stefano Stramigioli
Applying Energy Autonomous Robots for Dike Inspection. TAROS 2015: 112-123 - 2014
- [j6]Tadele Shiferaw Tadele, Theo J. A. de Vries, Stefano Stramigioli
The Safety of Domestic Robotics: A Survey of Various Safety-Related Publications. IEEE Robotics Autom. Mag. 21(3): 134-142 (2014) - [c10]Tadele Shiferaw Tadele, Theo J. A. de Vries, Stefano Stramigioli
Combining energy and power based safety metrics in controller design for domestic robots. ICRA 2014: 1209-1214 - 2013
- [c9]Tadele Shiferaw Tadele, Theo J. A. de Vries, Stefano Stramigioli
PID motion control tuning rules in a damping injection framework. ACC 2013: 4957-4962
2000 – 2009
- 2008
- [c8]Bernard P. Veldkamp, Theo de Vries:
Identification of Bankruptcy Fraud in Dutch Organizations. IADIS European Conf. Data Mining 2008: 63-66 - 2006
- [j5]Mark Verwoerd, Gjerrit Meinsma, Theo de Vries:
On admissible pairs and equivalent feedback - Youla parameterization in iterative learning control. Autom. 42(12): 2079-2089 (2006) - 2004
- [c7]Mark H. A. Verwoerd, Gjerrit Meinsma, Theo J. A. de Vries:
A class of non-contractive, trial-dependent update rules for iterative learning control. ACC 2004: 5132-5137 - [c6]Mark H. A. Verwoerd, Gjerrit Meinsma, Theo J. A. de Vries:
On the parameterization of all admissible pairs in a class of CCF-ILC algorithms. ACC 2004: 5156-5163 - 2003
- [j4]Bas J. de Kruif, Theo J. A. de Vries:
Pruning error minimization in least squares support vector machines. IEEE Trans. Neural Networks 14(3): 696-702 (2003) - [c5]Bas J. de Kruif, Theo J. A. de Vries:
On-line nonparametric regression to learn state-dependent disturbances. ISIC 2003: 75-80 - [c4]Mark Verwoerd, Gjerrit Meinsma, Theo de Vries:
On equivalence classes in iterative learning control. ACC 2003: 3632-3637 - 2002
- [c3]Bas J. de Kruif, Theo J. A. de Vries:
Support-vector-based least squares for learning non-linear dynamics. CDC 2002: 1343-1348 - [c2]Mark H. A. Verwoerd, Gjerrit Meinsma, Theo J. A. de Vries:
On the use of noncausal LTI operators in iterative learning control. CDC 2002: 3362-3366 - 2000
- [j3]Wubbe J. R. Velthuis, Theo J. A. de Vries, Pieter Schaak, Erik W. Gaal:
Stability analysis of learning feed-forward control. Autom. 36(12): 1889-1895 (2000) - [j2]Job van Amerongen, Erik Coelingh, Theo J. A. de Vries:
Computer support for mechatronic control system design. Robotics Auton. Syst. 30(3): 249-260 (2000)
1990 – 1999
- 1998
- [j1]Theo de Vries, Reno E. Beekman:
Applying simple dynamic modelling for decision support in planning regional health care. Eur. J. Oper. Res. 105(2): 277-284 (1998) - [c1]Theo J. A. de Vries, Lars J. Idema, Wubbe J. R. Velthuis:
Parsimonious learning feed-forward control. ESANN 1998: 85-90
Coauthor Index
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