Enhancing Accuracy and Numerical Stability for Repetitive Time-Varying System Identification: An Iterative Learning Approach

Enhancing Accuracy and Numerical Stability for Repetitive Time-Varying System Identification: An Iterative Learning Approach

Time-varying system identification is an appealing but challenging research area. Existing identification algorithms are usually subject to either low estimation accuracy or bad numerical stability. These deficiencies motivate the development of an iterative learning identification algorithm in this...

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Bibliographic Details
Main Authors: Fazhi Song, Yang Liu, Xianli Wang, Wen Jin, Li Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Iterative learning algorithm
time-varying system
parameter estimation
output-error system
bias compensation
singular value decomposition
Online Access:https://ieeexplore.ieee.org/document/8957520/

Internet

https://ieeexplore.ieee.org/document/8957520/

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