Luke Bhan

32 papers A* 2C 1Journal 22Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Predictor-Based Output-Feedback Control of Linear Systems with Time-Varying Input and Measurement Delays via Neural-Approximated Prediction Horizons.
CoRR
Luke Bhan, Miroslav Krstic, Yuanyuan Shi
2026 J jnl
Sampling-Horizon Neural Operator Predictors for Nonlinear Control under Delayed Inputs.
CoRR
Luke Bhan, Peter Quawas, Miroslav Krstic, Yuanyuan Shi
2025 J jnl
Adaptive control of reaction-diffusion PDEs via neural operator-approximated gain kernels.
Syst. Control. Lett.
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
2025 J jnl
Adaptive neural-operator backstepping control of a benchmark hyperbolic PDE.
Autom.
Maxence Lamarque, Luke Bhan, Yuanyuan Shi, Miroslav Krstic
2025 J jnl
Delay compensation of multi-input distinct delay nonlinear systems via neural operators.
CoRR
Filip Bajraktari, Luke Bhan, Miroslav Krstic, Yuanyuan Shi
2025 — conf
Delay-adaptive Control of Nonlinear Systems with Approximate Neural Operator Predictors.
CDC
Luke Bhan, Miroslav Krstic, Yuanyuan Shi
2025 J jnl
Delay-adaptive Control of Nonlinear Systems with Approximate Neural Operator Predictors.
CoRR
Luke Bhan, Miroslav Krstic, Yuanyuan Shi
2025 J jnl
Gain Scheduling With a Neural Operator for a Transport PDE With Nonlinear Recirculation.
IEEE Trans. Autom. Control.
Maxence Lamarque, Luke Bhan, Rafael Vázquez, Miroslav Krstic
2025 A* conf
Generalizable Motion Planning via Operator Learning.
ICLR
Sharath Matada, Luke Bhan, Yuanyuan Shi, Nikolay Atanasov
2025 — conf
Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems.
L4DC
Luke Bhan, Peijia Qin, Miroslav Krstic, Yuanyuan Shi
2025 J jnl
Stabilization of nonlinear systems with unknown delays via delay-adaptive neural operator approximate predictors.
CoRR
Luke Bhan, Miroslav Krstic, Yuanyuan Shi
2025 J jnl
The Forecast Critic: Leveraging Large Language Models for Poor Forecast Identification.
CoRR
Luke Bhan, Hanyu Zhang, Andrew Gordon Wilson, Michael W. Mahoney, Chuck Arvin
2024 J jnl
Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE.
CoRR
Maxence Lamarque, Luke Bhan, Yuanyuan Shi, Miroslav Krstic
2024 J jnl
Adaptive control of reaction-diffusion PDEs via neural operator-approximated gain kernels.
CoRR
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
2024 J jnl
Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation.
CoRR
Maxence Lamarque, Luke Bhan, Rafael Vázquez, Miroslav Krstic
2024 J jnl
Generalizable Motion Planning via Operator Learning.
CoRR
Sharath Matada, Luke Bhan, Yuanyuan Shi, Nikolay Atanasov
2024 C conf
Moving-Horizon Estimators for Hyperbolic and Parabolic PDEs in 1-D.
ACC
Luke Bhan, Yuanyuan Shi, Iasson Karafyllis, Miroslav Krstic, James B. Rawlings
2024 J jnl
Moving-Horizon Estimators for Hyperbolic and Parabolic PDEs in 1-D.
CoRR
Luke Bhan, Yuanyuan Shi, Iasson Karafyllis, Miroslav Krstic, James B. Rawlings
2024 J jnl
Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping.
IEEE Trans. Autom. Control.
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
2024 J jnl
Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems.
CoRR
Luke Bhan, Peijia Qin, Miroslav Krstic, Yuanyuan Shi
2024 J jnl
Neural operators of backstepping controller and observer gain functions for reaction-diffusion PDEs.
Autom.
Miroslav Krstic, Luke Bhan, Yuanyuan Shi
2024 J jnl
PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential Equations.
CoRR
Luke Bhan, Yuexin Bian, Miroslav Krstic, Yuanyuan Shi
2024 — conf
PDE control gym: A benchmark for data-driven boundary control of partial differential equations.
L4DC
Luke Bhan, Yuexin Bian, Miroslav Krstic, Yuanyuan Shi
2023 J jnl
Neural Operators for Bypassing Gain and Control Computations in PDE Backstepping.
CoRR
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
2023 — conf
Neural Operators for Hyperbolic PDE Backstepping Feedback Laws.
CDC
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
2023 — conf
Neural Operators for Hyperbolic PDE Backstepping Kernels.
CDC
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
2023 J jnl
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs.
CoRR
Miroslav Krstic, Luke Bhan, Yuanyuan Shi
2023 — conf
Operator Learning for Nonlinear Adaptive Control.
L4DC
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
2022 A* conf
Concurrent Policy Blending and System Identification for Generalized Assistive Control.
ICRA
Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas
2022 J jnl
Concurrent Policy Blending and System Identification for Generalized Assistive Control.
CoRR
Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas
2021 — conf
Fault Tolerant Control combining Reinforcement Learning and Model-based Control
SysTol
Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas
2017 J jnl
A Scaled Smart City for Experimental Validation of Connected and Automated Vehicles.
CoRR
Adam Stager, Luke Bhan, Andreas A. Malikopoulos, Liuhui Zhao