Fuzzy Sliding Mode Controller Design and Analysis of an SQEIAR Epidemic Model for COVID-19 to Determine the Quarantine Rate-Reference-Cited by-同舟云学术

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Fuzzy Sliding Mode Controller Design and Analysis of an SQEIAR Epidemic Model for COVID-19 to Determine the Quarantine Rate

Published:2021-02-01 Issue:5 Volume:14 Page:59-70
ISSN:2008-8345
Container-title:Journal of Control
language:fa
Short-container-title:JoC

Author:

Amiri Mehra Amir Hossein,Shafieirad Mohsen,Abbasi Zohreh,Zamani Iman,Aarabi Zohreh, , , , ,

Publisher

CMV Verlag

Link

http://joc.kntu.ac.ir/article-1-820-en.pdf

Reference37 articles.

1. World Health Organization (WHO) (www.who.int/ar/emergencies/diseases/novel-coronavirus-2019-farsi)

2. Centers for Disease Control and Prevention (CDC) (https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects.html)

3. "Iran Reports Its First 2 Cases of the New Coronavirus", New York Times. Archived from the original on 19 February 2020. Retrieved 19 February 2020.

4. A SIR model assumption for the spread of COVID-19 in different communities

5. Inversion of a SIR-based model: A critical analysis about the application to COVID-19 epidemic

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling and control of COVID-19 disease using deep reinforcement learning method;Medical & Biological Engineering & Computing;2024-06-28

2. Nonlinear Robust Adaptive Sliding Mode Control Strategy for Innate Immune Response to Influenza Virus;IETE Journal of Research;2022-12-15

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