Fractional‐order system identification based on an improved differential evolution algorithm-Reference-Cited by-同舟云学术

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Fractional‐order system identification based on an improved differential evolution algorithm

Published:2021-12-21 Issue: Volume: Page:
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian Journal of Control

Author:

Yu Wei¹^ORCID,Liang HengHui¹,Chen Rui¹,Wen Chenglin²,Luo Ying³^ORCID

Affiliation:

1. School of Mechatronic Engineering and Automation Foshan University Foshan China

2. School of Automation Guangdong University of Petrochemical Technology Maoming China

3. School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2675

Reference45 articles.

1. Lithium-ion battery modeling and parameter identification based on fractional theory

2. Fractional-order modeling and parameter identification for lithium-ion batteries

3. Fractional order control of thermal systems: achievability of frequency-domain requirements

4. Variable-order fractional differential operators in anomalous diffusion modeling

5. Study on the transient temperature field based on the fractional heat conduction equation for laser heating;Xu G.;Appl. Math. Mech.,2015

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1. State of charge estimation for the lithium-ion battery based on fractional-order multi-dimensional Taylor network;Journal of Energy Storage;2024-10

2. Fractional-order identification system based on Sundaresan’s technique;Chaos, Solitons & Fractals;2024-08

3. Stabilization of delayed fractional‐order T‐S fuzzy systems with input saturations and system uncertainties;Asian Journal of Control;2023-07-27

4. Active Optics and Aberration Correction Technology for Sparse Aperture Segmented Mirrors;Applied Sciences;2023-03-22

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