Jordan Leung
- Phone: 617-621-7525
- Email:
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Position:
Research / Technical Staff
Research Scientist -
Education:
PhD., University of Michigan, 2024 -
Research Areas:
Jordan's Quick Links
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Biography
Jordan's doctoral research focused on developing supervisory,
time-distributed, and optimization-based methods for computationally
efficient implementation of model predictive control. Prior to
studying at the University of Michigan, he completed an MASc at the
University of Toronto and a BASc at Queen's University in Canada.
Jordan's research interests are in constrained control, model
predictive control, and optimization for control. -
Recent News & Events
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NEWS MERL researchers present 13 papers at ACC 2025 Date: July 8, 2025 - July 10, 2025
Where: Denver, USA
MERL Contacts: Vedang M. Deshpande; Stefano Di Cairano; Purnanand Elango; Jordan Leung; Saviz Mowlavi; Abraham P. Vinod; Yebin Wang; Avishai Weiss
Research Areas: Control, Dynamical Systems, Electric Systems, Machine Learning, Multi-Physical Modeling, RoboticsBrief- MERL researchers presented 13 papers at the recently concluded American Control Conference (ACC) 2025 in Denver, USA. The papers covered a wide range of topics including Bayesian optimization for personalized medicine, machine learning for battery performance in eVTOLs, model predictive control for space and building systems, process systems engineering for sustainability, GNSS-RTK optimization, convex set manipulation, PDE control, servo system modeling, battery fault diagnosis, truck fleet coordination, interactive motion planning, and satellite station keeping. Additionally, MERL researchers (Vedang Deshpande and Ankush Chakrabarty) organized an invited session on design and optimization of energy systems.
As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.
- MERL researchers presented 13 papers at the recently concluded American Control Conference (ACC) 2025 in Denver, USA. The papers covered a wide range of topics including Bayesian optimization for personalized medicine, machine learning for battery performance in eVTOLs, model predictive control for space and building systems, process systems engineering for sustainability, GNSS-RTK optimization, convex set manipulation, PDE control, servo system modeling, battery fault diagnosis, truck fleet coordination, interactive motion planning, and satellite station keeping. Additionally, MERL researchers (Vedang Deshpande and Ankush Chakrabarty) organized an invited session on design and optimization of energy systems.
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MERL Publications
- , "Relaxed barrier function based model predictive control with hard input constraints", IEEE Control Systems Letters, DOI: 10.1109/LCSYS.2025.3645287, Vol. 9, pp. 2927-2932, December 2025.BibTeX TR2026-005 PDF
- @article{Castroviejo-Fernandez2025dec,
- author = {Castroviejo-Fernandez, Miguel and Leung, Jordan},
- title = {{Relaxed barrier function based model predictive control with hard input constraints}},
- journal = {IEEE Control Systems Letters},
- year = 2025,
- volume = 9,
- pages = {2927--2932},
- month = dec,
- doi = {10.1109/LCSYS.2025.3645287},
- issn = {2475-1456},
- url = {https://www.merl.com/publications/TR2026-005}
- }
- , "Relaxed barrier function based model predictive control with hard input constraints", IEEE Control Systems Letters, DOI: 10.1109/LCSYS.2025.3645287, Vol. 9, pp. 2927-2932, December 2025.
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Other Publications
- , "Regret Analysis of Shrinking Horizon Model Predictive Control", Journal of Dynamic Systems, Measurement, and Control, Vol. 147, No. 2, pp. 021007, 09 2024.BibTeX External
- @Article{Ambrosino2025_shrinkHorz,
- author = {Ambrosino, Michele and Castroviejo-Fernandez, Miguel and Leung, Jordan and Kolmanovsky, Ilya},
- title = {{Regret Analysis of Shrinking Horizon Model Predictive Control}},
- journal = {Journal of Dynamic Systems, Measurement, and Control},
- year = 2024,
- volume = 147,
- number = 2,
- pages = 021007,
- month = 09,
- url = {https://doi.org/10.1115/1.4066317}
- }
- , "Robust reference governor for input-constrained model predictive control to enforce state constraints at low computational cost", International Journal of Control, pp. 1-14, 2024.BibTeX
- @Article{Castroviejo2024_robustRefGovMPC,
- author = {Miguel Castroviejo-Fernandez, Jordan Leung and Kolmanovsky, Ilya},
- title = {Robust reference governor for input-constrained model predictive control to enforce state constraints at low computational cost},
- journal = {International Journal of Control},
- year = 2024,
- pages = {1--14},
- publisher = {Taylor \& Francis}
- }
- , "Inexact log-domain interior-point methods for quadratic programming", Computational Optimization and Applications, 2024.BibTeX
- @Article{Leung2024_CG-LDIPM,
- author = {Leung, Jordan and Permenter, Frank and Kolmanovsky, Ilya},
- title = {Inexact log-domain interior-point methods for quadratic programming},
- journal = {Computational Optimization and Applications},
- year = 2024
- }
- , "Feasibility governor for MPC with disturbance preview information", Systems & Control Letters, Vol. 185, pp. 105735, 2024.BibTeX
- @Article{Leung2024_FeasGovWithDist,
- author = {Leung, Jordan and Kolmanovsky, Ilya},
- title = {Feasibility governor for MPC with disturbance preview information},
- journal = {Systems & Control Letters},
- year = 2024,
- volume = 185,
- pages = 105735
- }
- , "A stability governor for constrained linear--quadratic MPC without terminal constraints", Automatica, Vol. 164, pp. 111650, 2024.BibTeX
- @Article{Leung2024_StabilityGovernor,
- author = {Leung, Jordan and Permenter, Frank and Kolmanovsky, Ilya V.},
- title = {A stability governor for constrained linear--quadratic MPC without terminal constraints},
- journal = {Automatica},
- year = 2024,
- volume = 164,
- pages = 111650
- }
- , "Reference Governor for Input-Constrained MPC to Enforce State Constraints at Lower Computational Cost", 2023 American Control Conference (ACC), 2023, pp. 1201-1208.BibTeX
- @Inproceedings{Castroviejo2023_IRG,
- author = {Castroviejo-Fernandez, Miguel and Leung, Jordan and Kolmanovsky, Ilya},
- title = {Reference Governor for Input-Constrained MPC to Enforce State Constraints at Lower Computational Cost},
- booktitle = {2023 American Control Conference (ACC)},
- year = 2023,
- pages = {1201--1208}
- }
- , "A Computational Governor for Maintaining Feasibility and Low Computational Cost in Model Predictive Control", IEEE Transactions on Automatic Control, pp. 1-16, 2023.BibTeX
- @Article{Leung2023_CompGov,
- author = {Leung, Jordan and Permenter, Frank and Kolmanovsky, Ilya V.},
- title = {A Computational Governor for Maintaining Feasibility and Low Computational Cost in Model Predictive Control},
- journal = {IEEE Transactions on Automatic Control},
- year = 2023,
- pages = {1--16}
- }
- , "Time-distributed optimization for shrinking horizon MPC", IFAC-PapersOnLine, Vol. 56, No. 2, pp. 9429-9435, 2023.BibTeX
- @Article{Leung2023_ShrinkingHorizon,
- author = {Leung, Jordan and Kolmanovsky, Ilya V.},
- title = {Time-distributed optimization for shrinking horizon MPC},
- journal = {IFAC-PapersOnLine},
- year = 2023,
- volume = 56,
- number = 2,
- pages = {9429--9435},
- note = {22nd IFAC World Congress}
- }
- , "Suboptimal MPC-based spacecraft attitude control with reaction wheel desaturation", 2022 IEEE Conference on Control Technology and Applications (CCTA), 2022, pp. 887-894.BibTeX
- @Inproceedings{Castroviejo2022_suboptimalMPC,
- author = {Castroviejo-Fernandez, Miguel and Leung, Jordan and Kolmanovsky, Ilya},
- title = {Suboptimal MPC-based spacecraft attitude control with reaction wheel desaturation},
- booktitle = {2022 IEEE Conference on Control Technology and Applications (CCTA)},
- year = 2022,
- pages = {887--894}
- }
- , "A Computationally Governed Log-domain Interior-point Method for Model Predictive Control", 2022 American Control Conference (ACC), 2022, pp. 900-905.BibTeX
- @Inproceedings{leung2022_LDIPM_ACC,
- author = {Leung, Jordan and Permenter, Frank and Kolmanovsky, Ilya V.},
- title = {A Computationally Governed Log-domain Interior-point Method for Model Predictive Control},
- booktitle = {2022 American Control Conference (ACC)},
- year = 2022,
- pages = {900--905}
- }
- , "An Analysis of Closed-Loop Stability for Linear Model Predictive Control Based on Time-Distributed Optimization", IEEE Transactions on Automatic Control, pp. 1-1, 2021.BibTeX
- @Article{Liao-2020_LQMPCISS,
- author = {Liao-McPherson, Dominic and Skibik, Terrence and Leung, Jordan and Kolmanovsky, Ilya V. and Nicotra, Marco M},
- title = {An Analysis of Closed-Loop Stability for Linear Model Predictive Control Based on Time-Distributed Optimization},
- journal = {IEEE Transactions on Automatic Control},
- year = 2021,
- pages = {1--1}
- }
- , "A Computable Plant-Optimizer Region of Attraction Estimate for Time-distributed Linear Model Predictive Control", 2021 American Control Conference (ACC), 2021, pp. 3384-3391.BibTeX
- @Inproceedings{leung2021_TDMPC-ROA_ACC,
- author = {Leung, Jordan and Liao-McPherson, Dominic and Kolmanovsky, Ilya V.},
- title = {A Computable Plant-Optimizer Region of Attraction Estimate for Time-distributed Linear Model Predictive Control},
- booktitle = {2021 American Control Conference (ACC)},
- year = 2021,
- pages = {3384--3391}
- }
- , "Regret Analysis of Shrinking Horizon Model Predictive Control", Journal of Dynamic Systems, Measurement, and Control, Vol. 147, No. 2, pp. 021007, 09 2024.