Optimization-based collision avoidance X Zhang, A Liniger, F Borrelli IEEE Transactions on Control Systems Technology 29 (3), 972-983, 2020 | 334 | 2020 |
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 | 149 | 2018 |
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 | 142 | 2013 |
Robust optimal control with adjustable uncertainty sets X Zhang, M Kamgarpour, A Georghiou, P Goulart, J Lygeros Automatica 75, 249-259, 2017 | 135 | 2017 |
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 | 106 | 2015 |
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 | 106 | 2015 |
Data-driven predictive control for autonomous systems U Rosolia, X Zhang, F Borrelli Annual Review of Control, Robotics, and Autonomous Systems 1 (1), 259-286, 2018 | 102 | 2018 |
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 | 73 | 2020 |
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 | 69 | 2013 |
Adaptive MPC for iterative tasks M Bujarbaruah, X Zhang, U Rosolia, F Borrelli 2018 IEEE Conference on Decision and Control (CDC), 6322-6327, 2018 | 68 | 2018 |
Adaptive MPC for autonomous lane keeping M Bujarbaruah, X Zhang, HE Tseng, F Borrelli arXiv preprint arXiv:1806.04335, 2018 | 68 | 2018 |
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 | 66 | 2019 |
Formation and reconfiguration of tight multi-lane platoons R Firoozi, X Zhang, F Borrelli Control Engineering Practice 108, 104714, 2021 | 50 | 2021 |
Adaptive stochastic MPC under time-varying uncertainty M Bujarbaruah, X Zhang, M Tanaskovic, F Borrelli IEEE Transactions on Automatic Control 66 (6), 2840-2845, 2020 | 50 | 2020 |
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 | 50 | 2014 |
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 | 49 | 2016 |
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 | 42 | 2015 |
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 | 37 | 2017 |
Adaptive MPC under time varying uncertainty: Robust and Stochastic M Bujarbaruah, X Zhang, M Tanaskovic, F Borrelli arXiv preprint arXiv:1909.13473, 2019 | 36 | 2019 |
Adaptive MPC with chance constraints for FIR systems M Bujarbaruah, X Zhang, F Borrelli 2018 Annual American Control Conference (ACC), 2312-2317, 2018 | 36 | 2018 |