Control Oriented Neural Network Model Learning : L2-Disturbance Attenuation Via an Approximate Input-Output Linearizable Model

Authors

Maxime Thieffry (ORCID: https://orcid.org/0000-0002-6192-8561)
Mohamed Yagoubi
Philippe Chevrel (ORCID: https://orcid.org/0000-0002-7103-7463)
A. Haché

Institutions

Laboratoire des Sciences du Numérique de Nantes (FR)
IMT Atlantique (FR)
Nantes Université (FR)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2024-10-10
DOI: https://doi.org/10.1109/icstcc62912.2024.10744751
Primary Topic: Neural Networks and Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

Control Oriented Neural Network Model Learning : L2-Disturbance Attenuation Via an Approximate Input-Output Linearizable Model

Maxime Thieffry, Mohamed Yagoubi, Philippe Chevrel, A. Haché

Oct 10, 2024

SPIRE - Sciences Po Institutional REpository

Neural Networks and Applications

article

Control Oriented Neural Network Model Learning : L2-Disturbance Attenuation Via an Approximate Input-Output Linearizable Model

Maxime Thieffry, Mohamed Yagoubi, Philippe Chevrel, A. Haché

October 10, 2024article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Laboratoire des Sciences du Numérique de Nantes (FR), IMT Atlantique (FR), Nantes Université (FR)

Openalex Percentile: Top 85%

Neural Networks and Applications

DOI Source OpenAlex

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Control Oriented Neural Network Model Learning : L2-Disturbance Attenuation Via an Approximate Input-Output Linearizable Model — Maxime Thieffry, Mohamed Yagoubi, et al. · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS