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GNN Model for Time-Varying Matrix Inversion With Robust Finite-Time Convergence
Yinyan Zhang 
,
Shuai Li ,
Jian Weng ,
Bolin Liao
,
Shuai Li ,
Jian Weng ,
Bolin Liao
IEEE Transactions on Neural Networks and Learning Systems, Volume: 34, Issue: 2, Pages: 1 - 11
Swansea University Author:
Shuai Li
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DOI (Published version): 10.1109/tnnls.2022.3175899
Abstract
GNN Model for Time-Varying Matrix Inversion With Robust Finite-Time Convergence
| Published in: | IEEE Transactions on Neural Networks and Learning Systems |
|---|---|
| ISSN: | 2162-237X 2162-2388 |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2022
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa60201 |
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| College: |
Faculty of Science and Engineering |
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| Funders: |
This work was supported in part by the National Natural Science Foundation of China under Grant 62020106013, Grant 61732021, and Grant 61563017; in part by the Major Program of Guangdong Basic and Applied Research Project under Grant 2019B030302008; in part by the Young
Scholar Program of Pazhou Laboratory under Grant PZL2021KF0022; and in part by the Natural Science Foundation of Guangdong Province under Grant 2022A1515010976. |
| Issue: |
2 |
| Start Page: |
1 |
| End Page: |
11 |