Copertina

Fast Surrogate Models for Adaptive Aircraft Trajectory Prediction in En route Airspace

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pepper, Nick, Thomas, Marc, Conti, Zack Xuereb
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computational Engineering, Finance, and Science Dynamical Systems
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Probabilistic Digital Twin of UK En Route Airspace for Training and Evaluating AI Agents for Air Traffic Control
di: Pepper, Nick, et al.
Pubblicazione: (2026)

Extreme Event Precursor Prediction in Turbulent Dynamical Systems via CNN-Augmented Recurrence Analysis
di: Agarwal, Rahul, et al.
Pubblicazione: (2025)

Data-Assisted Non-Intrusive Model Reduction for Forced Nonlinear Finite Elements Models
di: Cenedese, Mattia, et al.
Pubblicazione: (2023)

Advancing Operational Efficiency: Airspace Users' Perspective on Trajectory-Based Operations
di: Costas, Pablo, et al.
Pubblicazione: (2024)

VENI, VINDy, VICI: a generative reduced-order modeling framework with uncertainty quantification
di: Conti, Paolo, et al.
Pubblicazione: (2024)

Circularity of Thermodynamical Material Networks: Indicators, Examples, and Algorithms
di: Zocco, Federico
Pubblicazione: (2022)

Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems
di: Sharma, Harsh, et al.
Pubblicazione: (2024)

Reduced order modelling of Hopf bifurcations for the Navier-Stokes equations through invariant manifolds
di: Colombo, Alessio, et al.
Pubblicazione: (2025)

Data-free Non-intrusive Model Reduction for Nonlinear Finite Element Models via Spectral Submanifolds
di: Li, Mingwu, et al.
Pubblicazione: (2024)

From Classical to Quantum-Mechanical Data Assimilation: A Comparison between DATO and QMDA
di: Donno, Emanuele, et al.
Pubblicazione: (2026)

Sparse Identification of Nonlinear Dynamics with Conformal Prediction
di: Fasel, Urban
Pubblicazione: (2025)

A Stochastic Dynamic Network Model of the Space Environment
di: Wang, Yirui, et al.
Pubblicazione: (2024)

Port-Hamiltonian formulation and structure-preserving discretization of hyperelastic strings
di: Kinon, Philipp L., et al.
Pubblicazione: (2023)

Data-Driven Estimation of Failure Probabilities in Correlated Structure-Preserving Stochastic Power System Models
di: Zhao, Hongli, et al.
Pubblicazione: (2024)

Impact of Traffic-Following on Order of Autonomous Airspace Operations
di: Jain, Anahita, et al.
Pubblicazione: (2024)

Bayesian Model Selection for Complex Flows of Yield Stress Fluids
di: Rinkens, Aricia, et al.
Pubblicazione: (2026)

PySHRED: A Python package for SHallow REcurrent Decoding for sparse sensing, model reduction and scientific discovery
di: Ye, David, et al.
Pubblicazione: (2025)

Relevance of the Basset history term for Lagrangian particle dynamics
di: Urizarna-Carasa, Julio, et al.
Pubblicazione: (2024)

Port-Hamiltonian multibody dynamics: Lagrangian formulation, consistent interconnection, structure-preserving simulation and index-reduction
di: Latussek, Lisa, et al.
Pubblicazione: (2026)

Discrete empirical interpolation in the tensor t-product framework
di: Chellappa, Sridhar, et al.
Pubblicazione: (2024)

Energy-consistent integration of mechanical systems based on Livens principle
di: Kinon, Philipp L., et al.
Pubblicazione: (2023)

Hybridized Projected Differential Transform Method For collisional-breakage equation
di: Shweta, et al.
Pubblicazione: (2024)

Nonlinear Spectral Modeling and Control of Soft-Robotic Muscles from Data
di: Bettini, Leonardo, et al.
Pubblicazione: (2026)

On Path-based Marginal Cost of Heterogeneous Traffic Flow for General Networks
di: Liu, Jiachao, et al.
Pubblicazione: (2026)

Discrete nonlinear elastodynamics in a port-Hamiltonian framework
di: Kinon, Philipp L., et al.
Pubblicazione: (2023)

The Epistemic Support-Point Filter (ESPF): A Bounded Possibilistic Framework for Ordinal State Estimation
di: Jah, Moriba, et al.
Pubblicazione: (2025)

TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins
di: Kannapinn, Maximilian, et al.
Pubblicazione: (2024)

Resonance-Driven Intermittency and Extreme Events in Turbulent Scalar Transport with a Mean Gradient
di: Mohamad, Mustafa A, et al.
Pubblicazione: (2025)

Tracking before detection using partial orders and optimization
di: Robinson, Michael, et al.
Pubblicazione: (2024)

FMint-SDE: A Multimodal Foundation Model for Accelerating Numerical Simulation of SDEs via Error Correction
di: Yuan, Jiaxin, et al.
Pubblicazione: (2025)

Data-Driven Nonlinear Model Reduction to Spectral Submanifolds via Oblique Projection
di: Bettini, Leonardo, et al.
Pubblicazione: (2025)

Mixed formulation and structure-preserving discretization of Cosserat rod dynamics in a port-Hamiltonian framework
di: Kinon, Philipp L., et al.
Pubblicazione: (2025)

Development of a Cost-Effective Simulation Tool for Loss of Flow Accident Transients in High-Temperature Gas-cooled Reactors
di: Liu, Bo, et al.
Pubblicazione: (2025)

Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations
di: Catalani, Giovanni, et al.
Pubblicazione: (2024)

Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics -- Rotating Detonation Engines
di: Bao, Yuxuan, et al.
Pubblicazione: (2026)

Symbolic--KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learning
di: Faroughi, Salah A, et al.
Pubblicazione: (2026)

Physics-Informed Machine Learning Approach in Augmenting RANS Models Using DNS Data and DeepInsight Method on FDA Nozzle
di: Geshani, Hossein, et al.
Pubblicazione: (2025)

Subspace-Distance-Enabled Active Learning for Efficient Data-Driven Model Reduction of Parametric Dynamical Systems
di: Kapadia, Harshit, et al.
Pubblicazione: (2025)

GPU-native Embedding of Complex Geometries in Adaptive Octree Grids Applied to the Lattice Boltzmann Method
di: Jaber, Khodr, et al.
Pubblicazione: (2025)

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model
di: Song, Zezheng, et al.
Pubblicazione: (2024)