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ORCIDXiaojing Zhang 0001
Person information
- affiliation: Apple Inc., Cupertino, CA, USA
- affiliation (former): Delft University of Technology, Department of Cognitvie Robotics, The Netherlands
- affiliation (former): University of California Berkeley, Department of Mechanical Engineering, CA, USA
- affiliation (PhD 2016): ETH Zurich, Department of Electrical Engineering and Information Technology, Switzerland
Other persons with the same name
- Xiaojing Zhang — disambiguation page
- Xiaojing Zhang 0002 — Nippon Telegraph and Telephone Corporation, NTT Cyber Space Laboratories, Yokosuka, Japan
- Xiaojing Zhang 0003 — Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Sweden (and 1 more)
- Xiaojing Zhang 0004
![[0009-0006-5132-0380]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0006-5132-0380")
— University of Jinan, Shandong Provincial Key Laboratory of Ubiquitous Intelligent Computing, China (and 1 more)
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2020 – today
- 2025
[j13]Trevor Barron, Xiaojing Zhang:
Interpreting and Improving Optimal Control Problems With Directional Corrections. IEEE Robotics Autom. Lett. 10(5): 4986-4993 (2025)- [i17]Trevor Barron, Xiaojing Zhang:
Interpreting and Improving Optimal Control Problems with Directional Corrections. CoRR abs/2504.00415 (2025) - 2024
- [j12]Roya Firoozi, Laura Ferranti, Xiaojing Zhang, Sebastian Nejadnik, Francesco Borrelli:
A Distributed Multi-Vehicle Coordination Algorithm for Navigation in Tight Environments. IEEE Trans. Veh. Technol. 73(10): 14499-14509 (2024) - 2022
- [j11]Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli:
Robust MPC for LPV systems via a novel optimization-based constraint tightening. Autom. 143: 110459 (2022) - [j10]Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli:
Corrigendum to "Robust MPC for LPV Systems via a Novel Optimization-Based Constraint Tightening" [Automatica 143C (2022) 110459]. Autom. 146: 110546 (2022) - [j9]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Robust Learning Model-Predictive Control for Linear Systems Performing Iterative Tasks. IEEE Trans. Autom. Control. 67(2): 856-869 (2022) - 2021
- [j8]Monimoy Bujarbaruah, Xiaojing Zhang, Marko Tanaskovic, Francesco Borrelli:
Adaptive Stochastic MPC Under Time-Varying Uncertainty. IEEE Trans. Autom. Control. 66(6): 2840-2845 (2021) - [j7]Xiaojing Zhang, Alexander Liniger, Francesco Borrelli:
Optimization-Based Collision Avoidance. IEEE Trans. Control. Syst. Technol. 29(3): 972-983 (2021) - [j6]Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli:
Near-Optimal Rapid MPC Using Neural Networks: A Primal-Dual Policy Learning Framework. IEEE Trans. Control. Syst. Technol. 29(5): 2102-2114 (2021) - 2020
- [c17]Xu Shen, Xiaojing Zhang, Francesco Borrelli:
Autonomous Parking of Vehicle Fleet in Tight Environments. ACC 2020: 3035-3040 - [i16]Roya Firoozi, Xiaojing Zhang, Francesco Borrelli:
Formation and Reconfiguration of Tight Multi-Lane Platoons. CoRR abs/2003.08595 (2020) - [i15]Roya Firoozi, Laura Ferranti, Xiaojing Zhang, Sebastian Nejadnik, Francesco Borrelli:
A Distributed Multi-Robot Coordination Algorithm for Navigation in Tight Environments. CoRR abs/2006.11492 (2020) - [i14]Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli:
Robust MPC for LTI Systems with Parametric and Additive Uncertainty: A Novel Constraint Tightening Approach. CoRR abs/2007.00930 (2020)
2010 – 2019
- 2019
- [j5]Felix Rey, Xiaojing Zhang, Sandro Merkli, Valentina Agliati, Maryam Kamgarpour, John Lygeros:
Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM. IEEE Trans. Smart Grid 10(4): 3860-3869 (2019) - [c16]Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli:
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks. ACC 2019: 354-359 - [c15]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Simple Policy Evaluation for Data-Rich Iterative Tasks. ACC 2019: 2855-2860 - [i13]Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli:
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks. CoRR abs/1906.08257 (2019) - [i12]Monimoy Bujarbaruah, Xiaojing Zhang, Marko Tanaskovic, Francesco Borrelli:
Adaptive MPC under Time Varying Uncertainty: Robust and Stochastic. CoRR abs/1909.13473 (2019) - [i11]Xu Shen, Xiaojing Zhang, Francesco Borrelli:
Autonomous Parking of Vehicle Fleet in Tight Environments. CoRR abs/1910.02349 (2019) - [i10]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Robust Learning Model Predictive Control for Linear Systems. CoRR abs/1911.09234 (2019) - [i9]Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli:
Near-Optimal Rapid MPC using Neural Networks: A Primal-Dual Policy Learning Framework. CoRR abs/1912.04744 (2019) - 2018
- [j4]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Data-Driven Predictive Control for Autonomous Systems. Annu. Rev. Control. Robotics Auton. Syst. 1: 259-286 (2018) - [c14]Monimoy Bujarbaruah, Xiaojing Zhang, Francesco Borrelli:
Adaptive MPC with Chance Constraints for FIR Systems. ACC 2018: 2312-2317 - [c13]Xiaojing Zhang, Alexander Liniger, Atsushi Sakai, Francesco Borrelli:
Autonomous Parking Using Optimization-Based Collision Avoidance. CDC 2018: 4327-4332 - [c12]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
A Stochastic MPC Approach with Application to Iterative Learning. CDC 2018: 5152-5157 - [c11]Yeojun Kim, Xiaojing Zhang, Jacopo Guanetti, Francesco Borrelli:
Robust Model Predictive Control with Adjustable Uncertainty Sets. CDC 2018: 5176-5181 - [c10]Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli:
Adaptive MPC for Iterative Tasks. CDC 2018: 6322-6327 - [i8]Monimoy Bujarbaruah, Xiaojing Zhang, Francesco Borrelli:
Adaptive MPC with Chance Constraints for FIR Systems. CoRR abs/1804.09790 (2018) - [i7]Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli:
Adaptive MPC for Iterative Tasks. CoRR abs/1804.09831 (2018) - [i6]Monimoy Bujarbaruah, Xiaojing Zhang, H. Eric Tseng, Francesco Borrelli:
Adaptive MPC for Autonomous Lane Keeping. CoRR abs/1806.04335 (2018) - [i5]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Simple Policy Evaluation for Data-Rich Iterative Tasks. CoRR abs/1810.06764 (2018) - 2017
- [j3]Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros:
Robust optimal control with adjustable uncertainty sets. Autom. 75: 249-259 (2017) - [c9]Alexander Liniger, Xiaojing Zhang, Philipp Aeschbach, Angelos Georghiou, John Lygeros:
Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback. ACC 2017: 5642-5647 - [c8]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Robust learning model predictive control for iterative tasks: Learning from experience. CDC 2017: 1157-1162 - [i4]Xiaojing Zhang, Alexander Liniger, Francesco Borrelli:
Optimization-Based Collision Avoidance. CoRR abs/1711.03449 (2017) - 2016
- [j2]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul J. Goulart, John Lygeros:
A Scenario Approach for Non-Convex Control Design. IEEE Trans. Autom. Control. 61(2): 334-345 (2016) - [c7]Jesus Velasco Carrau, Alexander Liniger, Xiaojing Zhang, John Lygeros:
Efficient implementation of Randomized MPC for miniature race cars. ECC 2016: 957-962 - 2015
- [j1]Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul J. Goulart, John Lygeros:
On the sample size of random convex programs with structured dependence on the uncertainty. Autom. 60: 182-188 (2015) - [c6]Xiaojing Zhang, Angelos Georghiou, John Lygeros:
Convex approximation of chance-constrained MPC through piecewise affine policies using randomized and robust optimization. CDC 2015: 3038-3043 - [c5]Philipp Aeschbach, Xiaojing Zhang, Angelos Georghiou, John Lygeros:
Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire. CDC 2015: 4722-4727 - [i3]Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul Goulart, John Lygeros:
On the Sample Size of Random Convex Programs with Structured Dependence on the Uncertainty. CoRR abs/1502.00803 (2015) - [i2]Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, John Lygeros:
Robust Optimal Control with Adjustable Uncertainty Sets. CoRR abs/1511.04700 (2015) - 2014
- [c4]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
A scenario approach to non-convex control design: Preliminary probabilistic guarantees. ACC 2014: 3431-3436 - [c3]Xiaojing Zhang, Maryam Kamgarpour, Paul Goulart, John Lygeros:
Selling robustness margins: A framework for optimizing reserve capacities for linear systems. CDC 2014: 6419-6424 - [i1]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
A scenario approach for non-convex control design. CoRR abs/1401.2200 (2014) - 2013
- [c2]Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
Stochastic Model Predictive Control using a combination of randomized and robust optimization. CDC 2013: 7740-7745 - [c1]Xiaojing Zhang, Georg Schildbach, David Sturzenegger, Manfred Morari:
Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty. ECC 2013: 1029-1034
Coauthor Index
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