Gradient-based neural networks for solving periodic Sylvester matrix equations

This paper considers neural network solutions of a category of matrix equation called periodic Sylvester matrix equation (PSME), which appear in the process of periodic system analysis and design. A linear gradient-based neural network (GNN) model aimed at solving the PSME is constructed, whose stat...

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Bibliographic Details
Published inJournal of the Franklin Institute Vol. 359; no. 18; pp. 10849 - 10866
Main Authors Lv, Lingling, Chen, Jinbo, Zhang, Lei, Zhang, Fengrui
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.12.2022
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