Xiaojing Zhang

47 papers C 6Journal 30Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Interpreting and Improving Optimal Control Problems With Directional Corrections. IEEE Robotics Autom. Lett. Trevor Barron, Xiaojing Zhang
2025	J	`jnl`	Interpreting and Improving Optimal Control Problems with Directional Corrections. CoRR Trevor Barron, Xiaojing Zhang
2024	J	`jnl`	A Distributed Multi-Vehicle Coordination Algorithm for Navigation in Tight Environments. IEEE Trans. Veh. Technol. Roya Firoozi, Laura Ferranti, Xiaojing Zhang, Sebastian Nejadnik, Francesco Borrelli
2022	J	`jnl`	Corrigendum to "Robust MPC for LPV Systems via a Novel Optimization-Based Constraint Tightening" [Automatica 143C (2022) 110459]. Autom. Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli
2022	J	`jnl`	Robust Learning Model-Predictive Control for Linear Systems Performing Iterative Tasks. IEEE Trans. Autom. Control. Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2022	J	`jnl`	Robust MPC for LPV systems via a novel optimization-based constraint tightening. Autom. Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli
2021	J	`jnl`	Adaptive Stochastic MPC Under Time-Varying Uncertainty. IEEE Trans. Autom. Control. Monimoy Bujarbaruah, Xiaojing Zhang, Marko Tanaskovic, Francesco Borrelli
2021	J	`jnl`	Near-Optimal Rapid MPC Using Neural Networks: A Primal-Dual Policy Learning Framework. IEEE Trans. Control. Syst. Technol. Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli
2021	J	`jnl`	Optimization-Based Collision Avoidance. IEEE Trans. Control. Syst. Technol. Xiaojing Zhang, Alexander Liniger, Francesco Borrelli
2020	J	`jnl`	A Distributed Multi-Robot Coordination Algorithm for Navigation in Tight Environments. CoRR Roya Firoozi, Laura Ferranti, Xiaojing Zhang, Sebastian Nejadnik, Francesco Borrelli
2020	C	`conf`	Autonomous Parking of Vehicle Fleet in Tight Environments. ACC Xu Shen, Xiaojing Zhang, Francesco Borrelli
2020	J	`jnl`	Formation and Reconfiguration of Tight Multi-Lane Platoons. CoRR Roya Firoozi, Xiaojing Zhang, Francesco Borrelli
2020	J	`jnl`	Robust MPC for LTI Systems with Parametric and Additive Uncertainty: A Novel Constraint Tightening Approach. CoRR Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli
2019	J	`jnl`	Adaptive MPC under Time Varying Uncertainty: Robust and Stochastic. CoRR Monimoy Bujarbaruah, Xiaojing Zhang, Marko Tanaskovic, Francesco Borrelli
2019	J	`jnl`	Autonomous Parking of Vehicle Fleet in Tight Environments. CoRR Xu Shen, Xiaojing Zhang, Francesco Borrelli
2019	J	`jnl`	Near-Optimal Rapid MPC using Neural Networks: A Primal-Dual Policy Learning Framework. CoRR Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli
2019	J	`jnl`	Robust Learning Model Predictive Control for Linear Systems. CoRR Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2019	C	`conf`	Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks. ACC Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli
2019	J	`jnl`	Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks. CoRR Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli
2019	C	`conf`	Simple Policy Evaluation for Data-Rich Iterative Tasks. ACC Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2019	J	`jnl`	Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM. IEEE Trans. Smart Grid Felix Rey, Xiaojing Zhang, Sandro Merkli, Valentina Agliati, Maryam Kamgarpour, John Lygeros
2018	—	`conf`	A Stochastic MPC Approach with Application to Iterative Learning. CDC Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2018	J	`jnl`	Adaptive MPC for Autonomous Lane Keeping. CoRR Monimoy Bujarbaruah, Xiaojing Zhang, H. Eric Tseng, Francesco Borrelli
2018	—	`conf`	Adaptive MPC for Iterative Tasks. CDC Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli
2018	J	`jnl`	Adaptive MPC for Iterative Tasks. CoRR Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli
2018	C	`conf`	Adaptive MPC with Chance Constraints for FIR Systems. ACC Monimoy Bujarbaruah, Xiaojing Zhang, Francesco Borrelli
2018	J	`jnl`	Adaptive MPC with Chance Constraints for FIR Systems. CoRR Monimoy Bujarbaruah, Xiaojing Zhang, Francesco Borrelli
2018	—	`conf`	Autonomous Parking Using Optimization-Based Collision Avoidance. CDC Xiaojing Zhang, Alexander Liniger, Atsushi Sakai, Francesco Borrelli
2018	J	`jnl`	Data-Driven Predictive Control for Autonomous Systems. Annu. Rev. Control. Robotics Auton. Syst. Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2018	—	`conf`	Robust Model Predictive Control with Adjustable Uncertainty Sets. CDC Yeojun Kim, Xiaojing Zhang, Jacopo Guanetti, Francesco Borrelli
2018	J	`jnl`	Simple Policy Evaluation for Data-Rich Iterative Tasks. CoRR Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2017	J	`jnl`	Optimization-Based Collision Avoidance. CoRR Xiaojing Zhang, Alexander Liniger, Francesco Borrelli
2017	C	`conf`	Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback. ACC Alexander Liniger, Xiaojing Zhang, Philipp Aeschbach, Angelos Georghiou, John Lygeros
2017	—	`conf`	Robust learning model predictive control for iterative tasks: Learning from experience. CDC Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
2017	J	`jnl`	Robust optimal control with adjustable uncertainty sets. Autom. Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros
2016	J	`jnl`	A Scenario Approach for Non-Convex Control Design. IEEE Trans. Autom. Control. Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul J. Goulart, John Lygeros
2016	—	`conf`	Efficient implementation of Randomized MPC for miniature race cars. ECC Jesus Velasco Carrau, Alexander Liniger, Xiaojing Zhang, John Lygeros
2015	—	`conf`	Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire. CDC Philipp Aeschbach, Xiaojing Zhang, Angelos Georghiou, John Lygeros
2015	—	`conf`	Convex approximation of chance-constrained MPC through piecewise affine policies using randomized and robust optimization. CDC Xiaojing Zhang, Angelos Georghiou, John Lygeros
2015	J	`jnl`	On the Sample Size of Random Convex Programs with Structured Dependence on the Uncertainty. CoRR Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul Goulart, John Lygeros
2015	J	`jnl`	On the sample size of random convex programs with structured dependence on the uncertainty. Autom. Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul J. Goulart, John Lygeros
2015	J	`jnl`	Robust Optimal Control with Adjustable Uncertainty Sets. CoRR Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, John Lygeros
2014	J	`jnl`	A scenario approach for non-convex control design. CoRR Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
2014	C	`conf`	A scenario approach to non-convex control design: Preliminary probabilistic guarantees. ACC Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros
2014	—	`conf`	Selling robustness margins: A framework for optimizing reserve capacities for linear systems. CDC Xiaojing Zhang, Maryam Kamgarpour, Paul Goulart, John Lygeros
2013	—	`conf`	Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty. ECC Xiaojing Zhang, Georg Schildbach, David Sturzenegger, Manfred Morari
2013	—	`conf`	Stochastic Model Predictive Control using a combination of randomized and robust optimization. CDC Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros