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Xiaojing (George) Zhang
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Cited by
Year
Optimization-based collision avoidance
X Zhang, A Liniger, F Borrelli
IEEE Transactions on Control Systems Technology 29 (3), 972-983, 2020
1752020
Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty
X Zhang, G Schildbach, D Sturzenegger, M Morari
2013 european control conference (ECC), 1029-1034, 2013
1312013
Robust optimal control with adjustable uncertainty sets
X Zhang, M Kamgarpour, A Georghiou, P Goulart, J Lygeros
Automatica 75, 249-259, 2017
1152017
Autonomous parking using optimization-based collision avoidance
X Zhang, A Liniger, A Sakai, F Borrelli
2018 IEEE Conference on Decision and Control (CDC), 4327-4332, 2018
982018
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, 182–188, 2015
902015
A scenario approach for non-convex control design
S Grammatico, X Zhang, K Margellos, P Goulart, J Lygeros
IEEE Transactions on Automatic Control 61 (2), 334-345, 2015
892015
Stochastic model predictive control using a combination of randomized and robust optimization
X Zhang, K Margellos, P Goulart, J Lygeros
52nd IEEE conference on decision and control, 7740-7745, 2013
662013
Data-driven predictive control for autonomous systems
U Rosolia, X Zhang, F Borrelli
Annual Review of Control, Robotics, and Autonomous Systems 1, 259-286, 2018
652018
Adaptive MPC for autonomous lane keeping
M Bujarbaruah, X Zhang, HE Tseng, F Borrelli
arXiv preprint arXiv:1806.04335, 2018
492018
Adaptive MPC for iterative tasks
M Bujarbaruah, X Zhang, U Rosolia, F Borrelli
2018 IEEE Conference on Decision and Control (CDC), 6322-6327, 2018
482018
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
2014 european control conference (ECC), 478-483, 2014
482014
Safe and near-optimal policy learning for model predictive control using primal-dual neural networks
X Zhang, M Bujarbaruah, F Borrelli
2019 American Control Conference (ACC), 354-359, 2019
462019
Near-optimal rapid MPC using neural networks: A primal-dual policy learning framework
X Zhang, M Bujarbaruah, F Borrelli
IEEE Transactions on Control Systems Technology 29 (5), 2102-2114, 2020
412020
Efficient implementation of randomized MPC for miniature race cars
JV Carrau, A Liniger, X Zhang, J Lygeros
2016 European Control Conference (ECC), 957-962, 2016
402016
Balancing Bike Sharing Systems through Customer Cooperation–A Case Study on London’s Barclays Cycle Hire
P Aeschbach, X Zhang, A Georghiou, J Lygeros
IEEE Conference on Decision and Control, 2015
392015
Adaptive MPC under time varying uncertainty: Robust and Stochastic
M Bujarbaruah, X Zhang, M Tanaskovic, F Borrelli
arXiv preprint arXiv:1909.13473, 2019
322019
Robust learning model predictive control for iterative tasks: Learning from experience
U Rosolia, X Zhang, F Borrelli
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1157-1162, 2017
322017
Adaptive MPC with chance constraints for FIR systems
M Bujarbaruah, X Zhang, F Borrelli
2018 Annual American Control Conference (ACC), 2312-2317, 2018
312018
Racing miniature cars: Enhancing performance using stochastic MPC and disturbance feedback
A Liniger, X Zhang, P Aeschbach, A Georghiou, J Lygeros
2017 American Control Conference (ACC), 5642-5647, 2017
252017
Formation and reconfiguration of tight multi-lane platoons
R Firoozi, X Zhang, F Borrelli
Control Engineering Practice 108, 104714, 2021
242021
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