Luke Bhan

According to our database1, Luke Bhan authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE.
CoRR, 2024

Moving-Horizon Estimators for Hyperbolic and Parabolic PDEs in 1-D.
CoRR, 2024

Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation.
CoRR, 2024

2023
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs.
CoRR, 2023

Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping.
CoRR, 2023

Operator Learning for Nonlinear Adaptive Control.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Neural Operators for Hyperbolic PDE Backstepping Feedback Laws.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Neural Operators for Hyperbolic PDE Backstepping Kernels.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Concurrent Policy Blending and System Identification for Generalized Assistive Control.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Fault Tolerant Control combining Reinforcement Learning and Model-based Control <sup>*</sup>.
Proceedings of the 5th International Conference on Control and Fault-Tolerant Systems, 2021

2017
A Scaled Smart City for Experimental Validation of Connected and Automated Vehicles.
CoRR, 2017


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