Publication

Iterative Learning Control Using Stochastic Approximation Theory with Application to a Mechatronic System

Publications associées (45)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Convergence analysis of Padé approximations for Helmholtz frequency response problems

Fabio Nobile, Francesca Bonizzoni

The present work concerns the approximation of the solution map

S

associated to the parametric Helmholtz boundary value problem, i.e., the map which associates to each (real) wavenumber belonging to a given interval of interest the corresponding solution ...

2018

Iterative Learning Control Using Stochastic Approximation Theory with Application to a Mechatronic System

Graph Chatbot

Chattez avec Graph Search

Compressive sensing adaptation for polynomial chaos expansions

Dynamic Average Diffusion With Randomized Coordinate Updates

Convergence Analysis and Criterion for Data Assimilation with Sensitivities from Monte Carlo Neutron Transport Codes

Convergence Of Variance-Reduced Learning Under Random Reshuffling

Convergence analysis of Padé approximations for Helmholtz frequency response problems

Asynchronous updates for stochastic gradient descent

Real-Time Optimization Based on Adaptation of Surrogate Models

Two subtle convex nonlocal approximations of the BV-norm

Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity

Accurate, Stable and Efficient Modal Calculations of Photoelectrically Useful Absorption in Lamellar Metallic and Semiconductor Diffraction Gratings

Dynamic Average Diffusion With Randomized Coordinate Updates

Compressive sensing adaptation for polynomial chaos expansions

Convergence Analysis and Criterion for Data Assimilation with Sensitivities from Monte Carlo Neutron Transport Codes

Convergence Of Variance-Reduced Learning Under Random Reshuffling

Convergence analysis of Padé approximations for Helmholtz frequency response problems

Multi-index stochastic collocation convergence rates for random PDEs with parametric regularity

Asynchronous updates for stochastic gradient descent

Two subtle convex nonlocal approximations of the BV-norm

Real-Time Optimization Based on Adaptation of Surrogate Models

Accurate, Stable and Efficient Modal Calculations of Photoelectrically Useful Absorption in Lamellar Metallic and Semiconductor Diffraction Gratings