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Georg Schildbach
Georg Schildbach
Professor of Mechatronics, University of Luebeck
Bestätigte E-Mail-Adresse bei uni-luebeck.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Kinematic and dynamic vehicle models for autonomous driving control design
J Kong, M Pfeiffer, G Schildbach, F Borrelli
Intelligent Vehicles Symposium (IV), 2015 IEEE, 1094-1099, 2015
8992015
Dynamic vehicle redistribution and online price incentives in shared mobility systems
J Pfrommer, J Warrington, G Schildbach, M Morari
IEEE Transactions on Intelligent Transportation Systems 15 (4), 1567-1578, 2013
4102013
The Scenario Approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations
G Schildbach, L Fagiano, C Frei, M Morari
Automatica 50 (12), 3009-3018, 2014
2972014
Automated driving: The role of forecasts and uncertainty - A control perspective
A Carvalho, S Lefèvre, G Schildbach, J Kong, F Borrelli
European Journal of Control 24, 14-32, 2015
2032015
Scenario Model Predictive Control for lane change assistance and autonomous driving on highways
G Cesari, G Schildbach, A Carvalho, F Borrelli
IEEE Intelligent transportation systems magazine 9 (3), 23-35, 2017
1512017
Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty
X Zhang, G Schildbach, D Sturzenegger, M Morari
European Control Conference (ECC), 2013, Zurich, Switzerland, 1029-1034, 2013
1422013
Randomized solutions to convex programs with multiple chance constraints
G Schildbach, L Fagiano, M Morari
SIAM Journal on Optimization 23 (4), 2479-2501, 2013
1412013
Scenario Model Predictive Control for lane change assistance on highways
G Schildbach, F Borrelli
Intelligent Vehicles Symposium (IV), 2015 IEEE, 611-616, 2015
1352015
On the sample size of Random Convex Programs with structured dependence on the uncertainty
X Zhang, S Grammatico, G Schildbach, P Goulart, J Lygeros
Automatica 60 (10), 182-188, 2015
1052015
On the design and tuning of Linear Model Predictive Control for wind turbines
A Jain, G Schildbach, L Fagiano, M Morari
Renewable Energy 80, 664-673, 2015
882015
Scenario-based Model Predictive Control for multi-echelon supply chain management
G Schildbach, M Morari
European Journal of Operational Research 252 (2), 540-549, 2016
622016
Randomized Model Predictive Control for stochastic linear systems
G Schildbach, GC Calafiore, L Fagiano, M Morari
American Control Conference (ACC), 2012, Montreal, Canada, 417-422, 2012
552012
A collision avoidance system at intersections using Robust Model Predictive Control
G Schildbach, M Soppert, F Borrelli
IEEE Intelligent Vehicles Symposium (IV), 2016, Gothenburg, Sweden, 233-238, 2016
522016
On the sample size of Randomized MPC for chance-constrained systems with application to building climate control
X Zhang, S Grammatico, G Schildbach, P Goulart, J Lygeros
European Control Conference (ECC), 2014, Strasbourg, France, 478-483, 2014
502014
A path planner for autonomous driving on highways using a human mimicry approach with binary decision diagrams
L Claussmann, A Carvalho, G Schildbach
European Control Conference (ECC), 2015, Linz, Austria, 2015
362015
Stochastic Predictive Control for lane keeping assistance systems using a linear time-varying model
C Liu, A Carvalho, G Schildbach, JK Hedrick
American Control Conference (ACC), 2015, Chicago (IL), United States, 3355-3360, 2015
362015
Scenario MPC for linear time-varying systems with individual chance constraints
G Schildbach, M Morari
American Control Conference (ACC), 2015, Chicago (IL), United States, 415-421, 2015
252015
A Dynamic Programming approach for nonholonomic vehicle maneuvering in tight environments
G Schildbach, F Borrelli
IEEE Intelligent Vehicles Symposium (IV), 2016, Gothenburg, Sweden, 151-156, 2016
192016
Linear controller design for chance constrained systems
G Schildbach, P Goulart, M Morari
Automatica 51 (1), 278-284, 2014
192014
Using deep reinforcement learning with automatic curriculum learning for mapless navigation in intralogistics
H Xue, B Hein, M Bakr, G Schildbach, B Abel, E Rueckert
Applied Sciences 12 (6), 3153, 2022
162022
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