Journal Publications (oldest to newest):
  1. Siumulation of Photo-electron Spectrum and Electron Scattering by Dual Time Propagation
    Luke Bhan, Cody Covington, Kálmán Varga
    Journal of Chemical Physics, 2021
    [ PDF ]
  2. Signatures of Atomic Structure in Subfemtosecond Laser-Driven Electron Dynamics
    Luke Bhan, Cody Covington, Kálmán Varga
    Physics Review B, 2022
    [ PDF ]
  3. Laser-Driven Petahertz Electron Ratchet Nanobubbles
    Luke Bhan, Cody Covington, Kálmán Varga
    Nano Letters, 2022
    [ PDF ]
  4. Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping
    Luke Bhan, Yuanyuan Shi, Miroslav Krstic
    IEEE Transactions on Automatic Control (TAC), 2023
    [ PDF ] [ Code]
  5. Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs
    Miroslav Krstic, Luke Bhan, Yuanyuan Shi
    Automatica, 2024
    [ PDF ] [ Code]
  6. Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation
    Maxence Lamarque, Luke Bhan, Rafael Vazquez, Miroslav Krstic
    In Submission, IEEE Transactions on Automatic Control (TAC), 2024
    [ PDF ] [ Code]
  7. Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE
    Maxence Lamarque, Luke Bhan, Yuanyuan Shi, Miroslav Krstic
    In Submission, Automatica, 2024
    [ PDF ] [ Code]
  8. Adaptive Control of Reaction-Diffusion PDEs via Neural Operator-Approximated Gain Kernels
    Luke Bhan, Yuanyuan Shi, Miroslav Krstic
    In Submission, System & Control Letters, 2024
    [ PDF ] [ Code]
Conference Publications (oldest to newest):
  1. A Scaled Smart City for Experimental Validation of Connected and Automated Vehicles
    Luke Bhan, Marcos Quinones-Grueiro, Gautam Biswas
    Control in Transport Systems (CTS), 2018
    [ PDF ]
  2. Fault Tolerant Control Combining Reinforcement Learning and Model-based Control
    Luke Bhan, Marcos Quinones-Grueiro, Gautam Biswas
    IEEE Systems of Fault Tolerant Control (SysTol), 2021
    [ PDF ]
  3. Concurrent Policy Blending and System Identification for Generalized Assistive Control
    Luke Bhan, Marcos Quinones-Grueiro, Gautam Biswas
    IEEE International Conference on Robtics and Automation (ICRA), 2022
    [ PDF ] [ Code]
  4. Neural Operators for Nonlinear Adaptive Control
    Luke Bhan, Yuanyaun Shi, Miroslav Krstic
    Learning for Dyanmics and Control (L4DC) 2023
    [ PDF ] [ Code]
  5. Neural Operators for Hyperbolic PDE Backstepping Kernels
    Luke Bhan, Yuanyuan Shi, Miroslav Krstic
    62nd IEEE Conference Conference on Decision and Control (CDC), 2023
    [ PDF ] [ Code]
  6. Neural Operators for Hyperbolic PDE Backstepping Feedback Laws
    Luke Bhan, Yuanyuan Shi, Miroslav Krstic
    62nd IEEE Conference Conference on Decision and Control (CDC), 2023
    [ PDF ] [ Code]
  7. Moving-Horizon Estimators for Hyperbolic and Parabolic PDEs in 1-D
    Luke Bhan, Yuanyuan Shi, Iasson Karafyllis, Miroslav Krstic, James B. Rawlings
    American Control Conference (ACC), 2024
    [ PDF ]
  8. PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential Equations
    Luke Bhan*, Yuexin Bian*, Miroslav Krstic, Yuanyuan Shi
    Learning for Dyanmics and Control (L4DC) 2024
    [ PDF ] [ Code]