Stochastic Model Predictive Control using a combination of randomized and robust optimization. - Xiaojing Zhang 001; Kostas Margellos; Paul Goulart; John Lygeros (CDC, 2013)

Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty. - Xiaojing Zhang 001; Georg Schildbach; David Sturzenegger; Manfred Morari (ECC, 2013)

A scenario approach to non-convex control design: Preliminary probabilistic guarantees. - Sergio Grammatico; Xiaojing Zhang 001; Kostas Margellos; Paul Goulart; John Lygeros (ACC, 2014)

Selling robustness margins: A framework for optimizing reserve capacities for linear systems. - Xiaojing Zhang 001; Maryam Kamgarpour; Paul Goulart; John Lygeros (CDC, 2014)

Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire. - Philipp Aeschbach; Xiaojing Zhang 001; Angelos Georghiou; John Lygeros (CDC, 2015)

Convex approximation of chance-constrained MPC through piecewise affine policies using randomized and robust optimization. - Xiaojing Zhang 001; Angelos Georghiou; John Lygeros (CDC, 2015)

On the sample size of random convex programs with structured dependence on the uncertainty. - Xiaojing Zhang 001; Sergio Grammatico; Georg Schildbach; Paul J. Goulart; John Lygeros (Autom., 2015)

Robust Optimal Control with Adjustable Uncertainty Sets. - Xiaojing Zhang 001; Maryam Kamgarpour; Angelos Georghiou; John Lygeros (CoRR, 2015)

Efficient implementation of Randomized MPC for miniature race cars. - Jesus Velasco Carrau; Alexander Liniger; Xiaojing Zhang 001; John Lygeros (ECC, 2016)

A Scenario Approach for Non-Convex Control Design. - Sergio Grammatico; Xiaojing Zhang 001; Kostas Margellos; Paul J. Goulart; John Lygeros (IEEE Trans. Autom. Control., 2016)

Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback. - Alexander Liniger; Xiaojing Zhang 001; Philipp Aeschbach; Angelos Georghiou; John Lygeros (ACC, 2017)

Robust learning model predictive control for iterative tasks: Learning from experience. - Ugo Rosolia; Xiaojing Zhang 001; Francesco Borrelli (CDC, 2017)

Robust optimal control with adjustable uncertainty sets. - Xiaojing Zhang 001; Maryam Kamgarpour; Angelos Georghiou; Paul Goulart; John Lygeros (Autom., 2017)

Adaptive MPC with Chance Constraints for FIR Systems. - Monimoy Bujarbaruah; Xiaojing Zhang 001; Francesco Borrelli (ACC, 2018)

Adaptive MPC for Iterative Tasks. - Monimoy Bujarbaruah; Xiaojing Zhang 001; Ugo Rosolia; Francesco Borrelli (CDC, 2018)

Robust Model Predictive Control with Adjustable Uncertainty Sets. - Yeojun Kim; Xiaojing Zhang 001; Jacopo Guanetti; Francesco Borrelli (CDC, 2018)

A Stochastic MPC Approach with Application to Iterative Learning. - Ugo Rosolia; Xiaojing Zhang 001; Francesco Borrelli (CDC, 2018)

Autonomous Parking Using Optimization-Based Collision Avoidance. - Xiaojing Zhang 001; Alexander Liniger; Atsushi Sakai; Francesco Borrelli (CDC, 2018)

Data-Driven Predictive Control for Autonomous Systems. - Ugo Rosolia; Xiaojing Zhang 001; Francesco Borrelli (Annu. Rev. Control. Robotics Auton. Syst., 2018)

Adaptive MPC for Autonomous Lane Keeping. - Monimoy Bujarbaruah; Xiaojing Zhang 001; H. Eric Tseng; Francesco Borrelli (CoRR, 2018)

Simple Policy Evaluation for Data-Rich Iterative Tasks. - Ugo Rosolia; Xiaojing Zhang 001; Francesco Borrelli (ACC, 2019)

Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks. - Xiaojing Zhang 001; Monimoy Bujarbaruah; Francesco Borrelli (ACC, 2019)

Adaptive MPC under Time Varying Uncertainty: Robust and Stochastic. - Monimoy Bujarbaruah; Xiaojing Zhang 001; Marko Tanaskovic; Francesco Borrelli (CoRR, 2019)

Robust Learning Model Predictive Control for Linear Systems. - Ugo Rosolia; Xiaojing Zhang 001; Francesco Borrelli (CoRR, 2019)

Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM. - Felix Rey; Xiaojing Zhang 001; Sandro Merkli; Valentina Agliati; Maryam Kamgarpour; John Lygeros (IEEE Trans. Smart Grid, 2019)

Autonomous Parking of Vehicle Fleet in Tight Environments. - Xu Shen 003; Xiaojing Zhang 001; Francesco Borrelli (ACC, 2020)

Formation and Reconfiguration of Tight Multi-Lane Platoons. - Roya Firoozi; Xiaojing Zhang 001; Francesco Borrelli (CoRR, 2020)

A Distributed Multi-Robot Coordination Algorithm for Navigation in Tight Environments. - Roya Firoozi; Laura Ferranti; Xiaojing Zhang 001; Sebastian Nejadnik; Francesco Borrelli (CoRR, 2020)

Robust MPC for LTI Systems with Parametric and Additive Uncertainty: A Novel Constraint Tightening Approach. - Monimoy Bujarbaruah; Ugo Rosolia; Yvonne R. Stürz; Xiaojing Zhang 001; Francesco Borrelli (CoRR, 2020)

Adaptive Stochastic MPC Under Time-Varying Uncertainty. - Monimoy Bujarbaruah; Xiaojing Zhang 001; Marko Tanaskovic; Francesco Borrelli (IEEE Trans. Autom. Control., 2021)

Near-Optimal Rapid MPC Using Neural Networks: A Primal-Dual Policy Learning Framework. - Xiaojing Zhang 001; Monimoy Bujarbaruah; Francesco Borrelli (IEEE Trans. Control. Syst. Technol., 2021)

Optimization-Based Collision Avoidance. - Xiaojing Zhang 001; Alexander Liniger; Francesco Borrelli (IEEE Trans. Control. Syst. Technol., 2021)

Robust MPC for LPV systems via a novel optimization-based constraint tightening. - Monimoy Bujarbaruah; Ugo Rosolia; Yvonne R. Stürz; Xiaojing Zhang 001; Francesco Borrelli (Autom., 2022)

Corrigendum to "Robust MPC for LPV Systems via a Novel Optimization-Based Constraint Tightening" [Automatica 143C (2022) 110459]. - Monimoy Bujarbaruah; Ugo Rosolia; Yvonne R. Stürz; Xiaojing Zhang 001; Francesco Borrelli (Autom., 2022)

Robust Learning Model-Predictive Control for Linear Systems Performing Iterative Tasks. - Ugo Rosolia; Xiaojing Zhang 001; Francesco Borrelli (IEEE Trans. Autom. Control., 2022)

A Distributed Multi-Vehicle Coordination Algorithm for Navigation in Tight Environments. - Roya Firoozi; Laura Ferranti; Xiaojing Zhang 001; Sebastian Nejadnik; Francesco Borrelli (IEEE Trans. Veh. Technol., 2024)

Interpreting and Improving Optimal Control Problems With Directional Corrections. - Trevor Barron; Xiaojing Zhang 001 (IEEE Robotics Autom. Lett., 2025)