Luke Bhan
About
Blog
Publications
Journal Publications (oldest to newest):
Siumulation of Photo-electron Spectrum and Electron Scattering by Dual Time Propagation
Luke Bhan, Cody Covington, Kálmán Varga
Journal of Chemical Physics, 2021
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Signatures of Atomic Structure in Subfemtosecond Laser-Driven Electron Dynamics
Luke Bhan, Cody Covington, Kálmán Varga
Physics Review B, 2022
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Laser-Driven Petahertz Electron Ratchet Nanobubbles
Luke Bhan, Cody Covington, Kálmán Varga
Nano Letters, 2022
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Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
IEEE Transactions on Automatic Control (TAC), 2023
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Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs
Miroslav Krstic, Luke Bhan, Yuanyuan Shi
Automatica, 2024
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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
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Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE
Maxence Lamarque, Luke Bhan, Yuanyuan Shi, Miroslav Krstic
In Submission, Automatica, 2024
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Adaptive Control of Reaction-Diffusion PDEs via Neural Operator-Approximated Gain Kernels
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
In Submission, System & Control Letters, 2024
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Conference Publications (oldest to newest):
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
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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
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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
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Neural Operators for Nonlinear Adaptive Control
Luke Bhan, Yuanyaun Shi, Miroslav Krstic
Learning for Dyanmics and Control (L4DC) 2023
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Neural Operators for Hyperbolic PDE Backstepping Kernels
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
62nd IEEE Conference Conference on Decision and Control (CDC), 2023
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Neural Operators for Hyperbolic PDE Backstepping Feedback Laws
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
62nd IEEE Conference Conference on Decision and Control (CDC), 2023
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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
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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
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