Title: Active disturbance rejection control for COVID-19 outbreak based on SEIR model

Authors: Haonan Zhang; Wen Tan; Mei Yu

Addresses: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China ' School of Electrical and Control Engineering, North China University of Technology, Beijing 100144, China ' School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China

Abstract: Public health and social measures (PHSMs) standardise the non-pharmacological intervention (NPIs) policies that countries around the world have implemented to curb the spread of COVID-19, and may also serve as a guide for the implementation of future complex health policies in response to new pandemics of infectious diseases. In this paper we aim to use feedback control to help decision-makers establish PHSMs, which can effectively constrain the spread of COVID-19 pandemic with minimal financial loss. The time-dependent susceptible-exposed-infectious-removed (SEIR) model is used for the dynamics of the COVID-19 pandemic. The feedback control is based on a modified nonlinear active disturbance rejection controller (ADRC) that includes modified nonlinear extended state and nonlinear state error feedback with parameters tuned by particle swarm optimisation. The final simulation results show that the modified nonlinear ADRC has better performances and is more robust against uncertainties in the parameters of the epidemiological model.

Keywords: susceptible-exposed-infectious-removed model; SEIR model; active disturbance rejection control; ADRC; COVID-19; public health and social measures; PHSMs; robustness.

DOI: 10.1504/IJSCC.2024.141397

International Journal of Systems, Control and Communications, 2024 Vol.15 No.3, pp.292 - 311

Received: 24 Jan 2024
Accepted: 31 May 2024
Published online: 10 Sep 2024 *

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