Black-Box Large-Signal Average Modeling of DC-DC Converters Using NARX-ANNs

Author:

Zilio Andrea1ORCID,Biadene Davide1ORCID,Caldognetto Tommaso1ORCID,Mattavelli Paolo1ORCID

Affiliation:

1. Department of Management and Engineering, University of Padova, Vicenza, Italy

Funder

Italian Ministry for Education, University, and Research under Project “Holistic Approach to EneRgy-Efficient Smart nanOGRIDS” HEROGRIDS

Project “Interdisciplinary Strategy for the Development of Advanced Mechatronics Technologies (SISTEMA),” DTG, University of Padova

Italian Electronics Society Association

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference27 articles.

1. Modeling Power Electronic Converters Using A Method Based on Long-Short Term Memory (LSTM) Networks

2. Black-box modelling of a DC-DC buck converter based on a recurrent neural network;rojas-dueñas;Proc IEEE Int Conf Ind Technol (ICIT),2020

3. Artificial neural network;wang;Interdisciplinary Computing in Java Programming,0

4. A Deep Learning-Based Modeling of a 270 V-to-28 V DC-DC Converter Used in More Electric Aircrafts

5. Digital Twin Models of Power Electronic Converters Using Dynamic Neural Networks

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