Conference Publications:
  1. Neural Operators for Nonlinear Adaptive Control
    Luke Bhan, Yuanyaun Shi, Miroslav Krstic
    Learning for Dyanmics and Control (L4DC) 2023
    [ PDF ] [ Code]
  2. 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]
  3. 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 ]
  4. 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 ]
Journal Publications:
  1. Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs
    Miroslav Krstic, Luke Bhan, Yuanyuan Shi
    In Submission, Automatica, 2023
    [ PDF ] [ Code]
  2. Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping
    Luke Bhan, Yuanyuan Shi, Miroslav Krstic
    Accepted to appear, IEEE Transactions on Automatic Control (TAC), August 2024
    [ PDF ] [ Code]
  3. Laser-Driven Petahertz Electron Ratchet Nanobubbles
    Luke Bhan, Cody Covington, Kálmán Varga
    Nano Letters, 2022
    [ PDF ]
  4. Signatures of Atomic Structure in Subfemtosecond Laser-Driven Electron Dynamics
    Luke Bhan, Cody Covington, Kálmán Varga
    Physics Review B, 2022
    [ PDF ]
  5. Siumulation of Photo-electron Spectrum and Electron Scattering by Dual Time Propagation
    Luke Bhan, Cody Covington, Kálmán Varga
    Journal of Chemical Physics, 2021
    [ PDF ]