Design and Application of an Interval Estimator for Nonlinear Discrete-Time SEIR Epidemic Models

Design and Application of an Interval Estimator for Nonlinear Discrete-Time SEIR Epidemic Models

This paper designs an interval estimator for a fourth-order nonlinear susceptible-exposed-infected-recovered (SEIR) model with disturbances using noisy counts of susceptible people provided by Public Health Services (PHS). Infectious diseases are considered the main cause of deaths among the top ten...

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Bibliographic Details
Main Authors: Awais Khan, Xiaoshan Bai, Muhammad Ilyas, Arshad Rauf, Wei Xie, Peiguang Yan, Bo Zhang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Fractal and Fractional
Subjects:
interval analysis
interval estimator
finite-time convergence
bounded uncertainties
infectious diseases
SEIR epidemic model
Online Access:https://www.mdpi.com/2504-3110/6/4/213

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https://www.mdpi.com/2504-3110/6/4/213

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