Xiaojing Zhang
Orcid: 0000-0002-6998-3792Affiliations:
- Apple Inc., Cupertino, CA, USA
- Delft University of Technology, Department of Cognitvie Robotics, The Netherlands (former)
- University of California Berkeley, Department of Mechanical Engineering, CA, USA (former)
- ETH Zurich, Department of Electrical Engineering and Information Technology, Switzerland (PhD 2016)
According to our database1,
Xiaojing Zhang
authored at least 37 papers
between 2013 and 2025.
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Bibliography
2025
IEEE Robotics Autom. Lett., May, 2025
2024
A Distributed Multi-Vehicle Coordination Algorithm for Navigation in Tight Environments.
IEEE Trans. Veh. Technol., October, 2024
2022
Robust Learning Model-Predictive Control for Linear Systems Performing Iterative Tasks.
IEEE Trans. Autom. Control., 2022
Corrigendum to "Robust MPC for LPV Systems via a Novel Optimization-Based Constraint Tightening" [Automatica 143C (2022) 110459].
Autom., 2022
Autom., 2022
2021
Near-Optimal Rapid MPC Using Neural Networks: A Primal-Dual Policy Learning Framework.
IEEE Trans. Control. Syst. Technol., 2021
IEEE Trans. Autom. Control., 2021
2020
Robust MPC for LTI Systems with Parametric and Additive Uncertainty: A Novel Constraint Tightening Approach.
CoRR, 2020
A Distributed Multi-Robot Coordination Algorithm for Navigation in Tight Environments.
CoRR, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
IEEE Trans. Smart Grid, 2019
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks.
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
Annu. Rev. Control. Robotics Auton. Syst., 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Robust learning model predictive control for iterative tasks: Learning from experience.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback.
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the 15th European Control Conference, 2016
2015
On the sample size of random convex programs with structured dependence on the uncertainty.
Autom., 2015
Convex approximation of chance-constrained MPC through piecewise affine policies using randomized and robust optimization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Selling robustness margins: A framework for optimizing reserve capacities for linear systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
A scenario approach to non-convex control design: Preliminary probabilistic guarantees.
Proceedings of the American Control Conference, 2014
2013
Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty.
Proceedings of the 12th European Control Conference, 2013
Stochastic Model Predictive Control using a combination of randomized and robust optimization.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013