Design of auxiliary model and hierarchical normalized fractional adaptive algorithms for parameter estimation of bilinear‐in‐parameter systems-Reference-Cited by-同舟云学术

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Design of auxiliary model and hierarchical normalized fractional adaptive algorithms for parameter estimation of bilinear‐in‐parameter systems

Published:2022-07-22 Issue:10 Volume:36 Page:2562-2584
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Adaptive Control & Signal

Author:

Zhu Yancheng¹²³^ORCID,Wu Huaiyu¹³,Chen Zhihuan¹³,Chen Yang¹³,Zheng Xiujuan¹³^ORCID

Affiliation:

1. Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education Wuhan University of Science and Technology Wuhan China

2. College of Science Wuhan University of Science and Technology Wuhan China

3. Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Wuhan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3471

Reference66 articles.

1. Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing

2. A new computing paradigm for the optimization of parameters in adaptive beamforming using fractional processing

3. Parameter estimation for block‐oriented nonlinear systems using the key term separation

4. Parameter estimation of a complex chaotic system with unknown initial values

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