Jordan Leung

Phone: 617-621-7525
Email:

Position:
Research / Technical Staff

Research Scientist
Education:
PhD., University of Michigan, 2024

Jordan's Quick Links

Biography
Other Publications

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.
Other Publications
- Michele Ambrosino, Miguel Castroviejo-Fernandez, Jordan Leung and Ilya Kolmanovsky, "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}
  - }
- Jordan Leung Miguel Castroviejo-Fernandez and Ilya Kolmanovsky, "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}
  - }
- Jordan Leung, Frank Permenter and Ilya Kolmanovsky, "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
  - }
- Jordan Leung and Ilya Kolmanovsky, "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
  - }
- Jordan Leung, Frank Permenter and Ilya V. Kolmanovsky, "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
  - }
- Miguel Castroviejo-Fernandez, Jordan Leung and Ilya Kolmanovsky, "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}
  - }
- Jordan Leung, Frank Permenter and Ilya V. Kolmanovsky, "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}
  - }
- Jordan Leung and Ilya V. Kolmanovsky, "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}
  - }
- Miguel Castroviejo-Fernandez, Jordan Leung and Ilya Kolmanovsky, "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}
  - }
- Jordan Leung, Frank Permenter and Ilya V. Kolmanovsky, "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}
  - }
- Dominic Liao-McPherson, Terrence Skibik, Jordan Leung, Ilya V. Kolmanovsky and Marco M Nicotra, "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}
  - }
- Jordan Leung, Dominic Liao-McPherson and Ilya V. Kolmanovsky, "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}
  - }