Luke Bhan

According to our database, Luke Bhan authored at least 22 papers between 2017 and 2026.

Collaborative distances:

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

2026

Lotka-Sharpe Neural Operators for Control of Population PDEs.

Miroslav Krstic, Iasson Karafyllis, Luke Bhan, Carina Veil

CoRR, April, 2026

Sampling-Horizon Neural Operator Predictors for Nonlinear Control under Delayed Inputs.

Luke Bhan, Peter Quawas, Miroslav Krstic, Yuanyuan Shi

CoRR, March, 2026

Predictor-Based Output-Feedback Control of Linear Systems with Time-Varying Input and Measurement Delays via Neural-Approximated Prediction Horizons.

Luke Bhan, Miroslav Krstic, Yuanyuan Shi

CoRR, March, 2026

2025

The Forecast Critic: Leveraging Large Language Models for Poor Forecast Identification.

Luke Bhan, Hanyu Zhang, Andrew Gordon Wilson, Michael W. Mahoney, Chuck Arvin

CoRR, December, 2025

Stabilization of nonlinear systems with unknown delays via delay-adaptive neural operator approximate predictors.

Luke Bhan, Miroslav Krstic, Yuanyuan Shi

CoRR, September, 2025

Delay compensation of multi-input distinct delay nonlinear systems via neural operators.

Filip Bajraktari, Luke Bhan, Miroslav Krstic, Yuanyuan Shi

CoRR, September, 2025

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

Maxence Lamarque, Luke Bhan, Rafael Vázquez, Miroslav Krstic

IEEE Trans. Autom. Control., August, 2025

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

Luke Bhan, Yuanyuan Shi, Miroslav Krstic

Syst. Control. Lett., 2025

Adaptive neural-operator backstepping control of a benchmark hyperbolic PDE.

Maxence Lamarque, Luke Bhan, Yuanyuan Shi, Miroslav Krstic

Autom., 2025

Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems.

Luke Bhan, Peijia Qin, Miroslav Krstic, Yuanyuan Shi

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Generalizable Motion Planning via Operator Learning.

Sharath Matada, Luke Bhan, Yuanyuan Shi, Nikolay Atanasov

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Delay-adaptive Control of Nonlinear Systems with Approximate Neural Operator Predictors.

Luke Bhan, Miroslav Krstic, Yuanyuan Shi

Proceedings of the 64th IEEE Conference on Decision and Control, 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

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