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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Published in | Journal of the Franklin Institute Vol. 359; no. 18; pp. 10849 - 10866 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.12.2022
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Online Access | Get full text |
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