:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bluedorn, D., Badawy, A., Saunders, B. E., Roettgen, D., Abdelkefi, A.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Systems and Control
Online Access:	https://arxiv.org/abs/2603.10149
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the hierarchical Bayesian modelling of frequency response functions
by: Dardeno, T. A., et al.
Published: (2023)

Dyna-Style Reinforcement Learning Modeling and Control of Non-linear Dynamics
by: Abdelsalam, Karim, et al.
Published: (2025)

Reservoir computing for system identification and predictive control with limited data
by: Williams, Jan P., et al.
Published: (2024)

HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach
by: Hossain, Abrar, et al.
Published: (2025)

Tuning the burn-in phase in training recurrent neural networks improves their performance
by: Schiller, Julian D., et al.
Published: (2026)

Approximate non-linear model predictive control with safety-augmented neural networks
by: Hose, Henrik, et al.
Published: (2023)

Efficient model predictive control for nonlinear systems modelled by deep neural networks
by: Lan, Jianglin
Published: (2024)

Large width penalization for neural network-based prediction interval estimation
by: Amnuaypongsa, Worachit, et al.
Published: (2024)

Shape error prediction in 5-axis machining using graph neural networks
by: Huuk, Julia, et al.
Published: (2024)

Stabilization of nonlinear systems with unknown delays via delay-adaptive neural operator approximate predictors
by: Bhan, Luke, et al.
Published: (2025)

Joint torques prediction of a robotic arm using neural networks
by: d'Addato, Giulia, et al.
Published: (2024)

Delay compensation of multi-input distinct delay nonlinear systems via neural operators
by: Bajraktari, Filip, et al.
Published: (2025)

Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
by: Wu, Long, et al.
Published: (2024)

FNO$^{\angle θ}$: Extended Fourier neural operator for learning state and optimal control of distributed parameter systems
by: Li, Zhexian, et al.
Published: (2026)

Graph neural networks for power grid operational risk assessment under evolving grid topology
by: Zhang, Yadong, et al.
Published: (2024)

Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India
by: Malik, Hasmat, et al.
Published: (2024)

The impact of sensor placement on graph-neural-network-based leakage detection
by: van Gemert, J. J. H., et al.
Published: (2026)

Finite-sample guarantees for data-driven forward-backward operator methods
by: Fabiani, Filippo, et al.
Published: (2025)

An XAI framework for robust and transparent data-driven wind turbine power curve models
by: Letzgus, Simon, et al.
Published: (2023)

A minimax optimal control approach for robust neural ODEs
by: Cipriani, Cristina, et al.
Published: (2023)

Unsupervised machine learning for data-driven rock mass classification: addressing limitations in existing systems using drilling data
by: Hansen, T. F., et al.
Published: (2024)

A neural network-based approach to hybrid systems identification for control
by: Fabiani, Filippo, et al.
Published: (2024)

Observability conditions for neural state-space models with eigenvalues and their roots of unity
by: Gracyk, Andrew
Published: (2025)

Control of dynamical systems with neural networks
by: Böttcher, Lucas
Published: (2025)

Impact of data for forecasting on performance of model predictive control in buildings with smart energy storage
by: Langtry, Max, et al.
Published: (2024)

Reliably-stabilizing piecewise-affine neural network controllers
by: Fabiani, Filippo, et al.
Published: (2021)

Bridging conformal prediction and scenario optimization
by: O'Sullivan, Niall, et al.
Published: (2025)

Adaptive control of reaction-diffusion PDEs via neural operator-approximated gain kernels
by: Bhan, Luke, et al.
Published: (2024)

PowerGraph: A power grid benchmark dataset for graph neural networks
by: Varbella, Anna, et al.
Published: (2024)

AI-based framework to predict animal and pen feed intake in feedlot beef cattle
by: Maia, Alex S. C., et al.
Published: (2025)

Controlled oscillation modeling using port-Hamiltonian neural networks
by: Linares, Maximino, et al.
Published: (2026)

Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
by: Linares, Maximino, et al.
Published: (2026)

Manifold meta-learning for reduced-complexity neural system identification
by: Forgione, Marco, et al.
Published: (2025)

Improved uncertainty quantification for neural networks with Bayesian last layer
by: Fiedler, Felix, et al.
Published: (2023)

Dynamic robotic cloth folding with efficient Koopman operator-based model predictive control
by: Caldarelli, Edoardo, et al.
Published: (2026)

Robust stabilization of polytopic systems via fast and reliable neural network-based approximations
by: Fabiani, Filippo, et al.
Published: (2022)

On zero-shot learning in neural state estimation of power distribution systems
by: Berezin, Aleksandr, et al.
Published: (2024)

A new approach for combined model class selection and parameters learning for auto-regressive neural models
by: Sgadari, Corrado, et al.
Published: (2026)

Koopman operator for time-dependent reliability analysis
by: N., Navaneeth, et al.
Published: (2022)

Model-based controller assisted domain randomization for transient vibration suppression of nonlinear powertrain system with parametric uncertainty
by: Yonezawa, Heisei, et al.
Published: (2025)