Towards faster and robust solution for dynamic LR and QR factorization

Abstract Dynamic LR and QR factorization are fundamental problems that exist widely in the control field. However, the existing solutions under noises are lack of convergence speed and anti-noise ability. To this end, this paper incorporates the advantages of Dynamic-Coefficient Type (DCT) and Integ...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Fenghao Zhuang, Huiting He, Aiping Ye, Lilan Zou
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-11-01
Subjects:	LR factorization QR factorization Zeroing neural dynamic Anti-noise ability
Online Access:	https://doi.org/10.1038/s41598-024-76537-0