Selected Publications

Journal Papers

• MAKO: Meta-adaptive Koopman operators for learning-based model predictive control of parametrically uncertain nonlinear systems[Paper]
  M Han, K Wong, AWK Law, X Yin.
  Automatica, 2026.

• Deep neural Koopman operator-based economic model predictive control of shipboard carbon capture system[Paper]
  M Han, X Yin.
  IEEE Transactions on Control Systems Technology, 2025.

• Robust Learning-based Control for Uncertain Nonlinear Systems with Validation on a Soft Robot[Paper]
  M Han, K W Wong, J Euler-Rolle, L Zhang, and R K. Katzschmann.
  IEEE Transactions on Neural Networks and Learning Systems, 2023.

• Robust Learning and Control of Time-Delay Nonlinear Systems With Deep Recurrent Koopman Operators[Paper]
  M. Han, Z Li , X Yin, and X Yin.
  IEEE Transactions on Industrial Informatics, 2023.

• Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee[Paper]
  M. Han, L Zhang, J Wang, W Pan.
  Automatica, 2021, 129: 109689.

• Actor-Critic Reinforcement Learning for Control with Stability Guarantee[Paper]
  M. Han, L Zhang, J Wang, W Pan.
  IEEE Robotics and Automation Letters, 5(4), 6217 – 6224, 2020. (also accepted by IROS 2020 )

• Asynchronous Observer Design for Switched Linear Systems: A Tube-Based Approach[Paper]
  M. Han, L. Zhang, Y. Zhao, W. Pan
  IEEE/CAA Journal of Automatica Sinica, 7(1), 70-81, 2019.

Conference Proceedings

• DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator[Paper]
  M. Han, J Euler-Rolle, R Katzschmann
  ICLR 2022.

• H∞ Model-free Reinforcement Learning with Robust Stability Guarantee[Paper]
  M. Han, L. Zhang, Y. Tian, J. Wang, W. Pan
  NeurIPS 2019 Workshop.