Imagen de Portada

Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Alvarez, Hector Vargas, Fabiani, Gianluca, Kevrekidis, Ioannis G., Kazantzis, Nikolaos, Siettos, Constantinos
Formato:	Preprint
Publicado:	2024
Materias:	Numerical Analysis Artificial Intelligence Dynamical Systems 37N30, 68T05, 93C55, 65D15
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Invariant Manifolds of Discrete-time Dynamical Systems with Nonlinear Exosystems via Hybrid Physics-Informed Neural Networks
por: Patsatzis, Dimitrios G., et al.
Publicado: (2025)

Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators
por: Fabiani, Gianluca, et al.
Publicado: (2025)

Linear Stability Analysis of Physics-Informed Random Projection Neural Networks for ODEs
por: Fabiani, Gianluca, et al.
Publicado: (2024)

Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning
por: Patsatzis, Dimitrios G., et al.
Publicado: (2023)

Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach
por: Patsatzis, Dimitrios G., et al.
Publicado: (2022)

Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
por: Fabiani, Gianluca, et al.
Publicado: (2025)

Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator
por: Gallos, Ioannis K., et al.
Publicado: (2023)

Deep Learning Accelerated Algebraic Multigrid Methods for Polytopal Discretizations of Second-Order Differential Problems
por: Antonietti, Paola F., et al.
Publicado: (2025)

Next Generation Equation-Free Multiscale Modelling of Crowd Dynamics via Machine Learning
por: Alvarez, Hector Vargas, et al.
Publicado: (2025)

A discontinuous Galerkin plane wave neural network method for Helmholtz equation and Maxwell's equations
por: Yuan, Long, et al.
Publicado: (2025)

Discontinuous hybrid neural networks for the one-dimensional partial differential equations
por: Wang, Xiaoyu, et al.
Publicado: (2025)

A framework of discontinuous Galerkin neural networks for iteratively approximating residuals
por: Yuan, Long, et al.
Publicado: (2025)

Stability and Bifurcation Analysis of Nonlinear PDEs via Random Projection-based PINNs: A Krylov-Arnoldi Approach
por: Fabiani, Gianluca, et al.
Publicado: (2026)

RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators
por: Fabiani, Gianluca, et al.
Publicado: (2024)

Construction of local reduced spaces for Friedrichs' systems via randomized training
por: Engwer, Christian, et al.
Publicado: (2024)

A Deep Learning algorithm to accelerate Algebraic Multigrid methods in Finite Element solvers of 3D elliptic PDEs
por: Caldana, Matteo, et al.
Publicado: (2023)

A neuron-wise subspace correction method for the finite neuron method
por: Park, Jongho, et al.
Publicado: (2022)

Multiscale Neural Networks for Approximating Green's Functions
por: Hao, Wenrui, et al.
Publicado: (2024)

Learning of discrete models of variational PDEs from data
por: Offen, Christian, et al.
Publicado: (2023)

A Neural Multigrid Solver for Helmholtz Equations with High Wavenumber and Heterogeneous Media
por: Cui, Chen, et al.
Publicado: (2024)

Geometric adaptive smoothed aggregation multigrid for discontinuous Galerkin discretisations
por: Pan, Yulong, et al.
Publicado: (2025)

A two-grid method with dispersion matching for finite-element Helmholtz problems
por: Stolk, Christiaan C.
Publicado: (2025)

Spectral ACMS: A robust localized Approximated Component Mode Synthesis Method
por: Madureira, Alexandre L., et al.
Publicado: (2017)

A reduced conjugate gradient basis method for fractional diffusion
por: Li, Yuwen, et al.
Publicado: (2023)

Preconditioners for the Onsager-Stefan-Maxwell equations for multicomponent diffusion
por: Knook, Kars, et al.
Publicado: (2026)

Sharp inf-sup estimate for the Stokes equation in tight domains with periodic pillars and some numerical implications
por: Xin, Qi, et al.
Publicado: (2026)

Multiscale Spectral Generalized Finite Element Methods for Discontinuous Galerkin Schemes
por: Alber, Christian, et al.
Publicado: (2025)

Distributed finite element solution using model order reduction
por: Gustafsson, Tom, et al.
Publicado: (2024)

Hybrid Nitsche method for distributed computing
por: Gustafsson, Tom, et al.
Publicado: (2025)

The Neural Approximated Virtual Element Method for Elasticity Problems
por: Berrone, Stefano, et al.
Publicado: (2025)

Two-level overlapping Schwarz preconditioners with universal coarse spaces for $2m$th-order elliptic problems
por: Park, Jongho
Publicado: (2024)

Improving patch selection for monolithic multigrid solvers for high-order {T}aylor-{H}ood discretizations
por: Rafiei, Amin, et al.
Publicado: (2025)

An AMG saddle point preconditioner with application to mixed Poisson problems on adaptive quad/cube meshes
por: Burstedde, Carsten, et al.
Publicado: (2019)

Adaptive and frugal BDDC coarse spaces for virtual element discretizations of a Stokes problem with heterogeneous viscosity
por: Bevilacqua, Tommaso, et al.
Publicado: (2024)

Nodal auxiliary space preconditioning for the surface de Rham complex
por: Li, Yuwen
Publicado: (2021)

A polynomial dimension-dependence analysis of Bramble--Pasciak--Xu preconditioners
por: Jiang, Boou, et al.
Publicado: (2025)

Towards a parallel Schwarz solver framework for virtual elements using GDSW coarse spaces
por: Bevilacqua, Tommaso, et al.
Publicado: (2025)

Computing Feedback Laws for Linear Systems with a Parallel Pieri Homotopy
por: Verschelde, Jan, et al.
Publicado: (2004)

Fredholm Neural Networks
por: Georgiou, Kyriakos, et al.
Publicado: (2024)

Neural Approximate Inverse Preconditioners
por: Xu, Tianshi, et al.
Publicado: (2025)