Gregory Pinte

According to our database1, Gregory Pinte authored at least 12 papers between 2010 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2014
Robust and two-level (nonlinear) predictive control of switched dynamical systems with unknown references for optimal wet-clutch engagement.
J. Syst. Control. Eng., 2014

Describing the design space of mechanical computational design synthesis problems.
Adv. Eng. Informatics, 2014

2013
Classical and modern methods for time-constrained energy optimal motion - Application to a badminton robot.
Proceedings of the IEEE International Conference on Mechatronics, 2013

Model-free and model-based time-optimal control of a badminton robot.
Proceedings of the 9th Asian Control Conference, 2013

2012
Improving wet clutch engagement with reinforcement learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Position and Velocity Predictions of the Piston in a Wet Clutch System during Engagement by Using a Neural Network Modeling.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Fine Tuning of a Wet Clutch Engagement by Means of a Genetic Algorithm.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Robust predictive control design for optimal wet-clutch engagement.
Proceedings of the American Control Conference, 2012

2011
Identification of linear systems using output measurements with only two possible values.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A reference free iterative learning strategy for wet clutch control.
Proceedings of the American Control Conference, 2011

2010
Iterative optimization of the filling phase of wet clutches.
Proceedings of the 11th IEEE International Workshop on Advanced Motion Control, 2010

A two-level optimization based learning control strategy for wet clutches.
Proceedings of the 10th IFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, 2010


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