Design of multi-innovation hierarchical fractional adaptive algorithm for generalized bilinear-in-parameter system using the key term separation principle

Design of multi-innovation hierarchical fractional adaptive algorithm for generalized bilinear-in-parameter system using the key term separation principle

Abstract This paper mainly studies the issue of fractional parameter identification of generalized bilinear-in-parameter system(GBIP) with colored noise. Hierarchical fractional least mean square algorithm based on the key term separation principle(K-HFLMS) and multi-innovation hierarchical fraction...

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Bibliographic Details
Main Authors: Yancheng Zhu, Huaiyu Wu, Zhihuan Chen, Zhenhua Zhu, Yang Chen, Xiujuan Zheng
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Generalized bilinear-in-parameter system
Fractional adaptive model
Key term separation principle
Hierarchical identification
Multi-innovation theory
Online Access:https://doi.org/10.1038/s41598-024-83654-3
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https://doi.org/10.1038/s41598-024-83654-3

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