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Julian Stoev
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2010 – 2019
- 2015
- [j3]Koen Rutten, Josse De Baerdemaeker, Julian Stoev, Maarten Witters, Bart De Ketelaere:
Constrained Online Optimization Using Evolutionary Operation: A Case Study About Energy-Optimal Robot Control. Qual. Reliab. Eng. Int. 31(6): 1079-1088 (2015) - 2014
- [j2]Abhishek Dutta
, Clara M. Ionescu
, Robin De Keyser, Bart Wyns, Julian Stoev, Gregory Pinte, Wim Symens:
Robust and two-level (nonlinear) predictive control of switched dynamical systems with unknown references for optimal wet-clutch engagement. J. Syst. Control. Eng. 228(4): 233-244 (2014) - 2013
- [c6]Julian Stoev, Gregory Pinte, Xin Wang, Jan Swevers:
Classical and modern methods for time-constrained energy optimal motion - Application to a badminton robot. ICM 2013: 706-711 - 2012
- [c5]Abhishek Dutta
, Robin De Keyser, Clara M. Ionescu, Julian Stoev, Gregory Pinte, Wim Symens:
Robust predictive control design for optimal wet-clutch engagement. ACC 2012: 4576-4581 - [c4]Yu Zhong, Abhishek Dutta
, Bart Wyns, Clara M. Ionescu, Gregory Pinte, Wim Symens, Julian Stoev, Robin De Keyser:
Fine Tuning of a Wet Clutch Engagement by Means of a Genetic Algorithm. AIAI (1) 2012: 58-67 - [c3]Yu Zhong, Bart Wyns, Abhishek Dutta
, Clara-Mihaela Ionescu, Gregory Pinte, Wim Symens, Julian Stoev, Robin De Keyser:
Position and Velocity Predictions of the Piston in a Wet Clutch System during Engagement by Using a Neural Network Modeling. AIAI (1) 2012: 474-482 - [c2]Kevin Van Vaerenbergh, Abdel Rodríguez
, Matteo Gagliolo
, Peter Vrancx, Ann Nowé, Julian Stoev, Stijn Goossens, Gregory Pinte, Wim Symens:
Improving wet clutch engagement with reinforcement learning. IJCNN 2012: 1-8
2000 – 2009
- 2002
- [j1]Julian Stoev, Jin Young Choi, Jay A. Farrell
:
Adaptive control for output feedback nonlinear systems in the presence of modeling errors. Autom. 38(10): 1761-1767 (2002) - 2001
- [c1]Julian Stoev, Jin Young Choi, Jay A. Farrell:
Adaptive neuro control for output feedback nonlinear systems. ACC 2001: 3097-3102
Coauthor Index
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