Luke Bhan

According to our database, Luke Bhan authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adaptive control of reaction-diffusion PDEs via neural operator-approximated gain kernels.

Luke Bhan, Yuanyuan Shi, Miroslav Krstic

Syst. Control. Lett., 2025

2024

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

Luke Bhan, Yuanyuan Shi, Miroslav Krstic

IEEE Trans. Autom. Control., August, 2024

Generalizable Motion Planning via Operator Learning.

Sharath Matada, Luke Bhan, Yuanyuan Shi, Nikolay Atanasov

CoRR, 2024

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

Maxence Lamarque, Luke Bhan, Yuanyuan Shi, Miroslav Krstic

CoRR, 2024

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

Maxence Lamarque, Luke Bhan, Rafael Vázquez, Miroslav Krstic

CoRR, 2024

Neural operators of backstepping controller and observer gain functions for reaction-diffusion PDEs.

Miroslav Krstic, Luke Bhan, Yuanyuan Shi

Autom., 2024

PDE control gym: A benchmark for data-driven boundary control of partial differential equations.

Luke Bhan, Yuexin Bian, Miroslav Krstic, Yuanyuan Shi

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

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

Luke Bhan, Yuanyuan Shi, Iasson Karafyllis, Miroslav Krstic, James B. Rawlings

Proceedings of the American Control Conference, 2024

2023

Operator Learning for Nonlinear Adaptive Control.

Luke Bhan, Yuanyuan Shi, Miroslav Krstic

Proceedings of the Learning for Dynamics and Control Conference, 2023

Neural Operators for Hyperbolic PDE Backstepping Feedback Laws.

Luke Bhan, Yuanyuan Shi, Miroslav Krstic

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Neural Operators for Hyperbolic PDE Backstepping Kernels.

Luke Bhan, Yuanyuan Shi, Miroslav Krstic

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Concurrent Policy Blending and System Identification for Generalized Assistive Control.

Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Fault Tolerant Control combining Reinforcement Learning and Model-based Control ^*.

Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas

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.

Adam Stager, Luke Bhan, Andreas A. Malikopoulos, Liuhui Zhao

CoRR, 2017