Control Design and Stability Analysis of a Two-Infectious-State Awareness Epidemic Model

Li, Z; Hong, J; Kim, J; Yu, C

Control Design and Stability Analysis of a Two-Infectious-State Awareness Epidemic Model

Li, Z Hong, J Kim, J

Yu, C

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Publication Type:: Conference Proceeding
Citation:: 2019 12th Asian Control Conference, ASCC 2019, 2019, pp. 704 - 709
Issue Date:: 2019-06-01

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Field	Value	Language
dc.contributor.author	Li, Z	en_US
dc.contributor.author	Hong, J	en_US
dc.contributor.author	Kim, J https://orcid.org/0000-0003-4505-1103	en_US
dc.contributor.author	Yu, C	en_US
dc.date.issued	2019-06-01	en_US
dc.identifier.citation	2019 12th Asian Control Conference, ASCC 2019, 2019, pp. 704 - 709	en_US
dc.identifier.isbn	9784888983006	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137112
dc.description.abstract	© 2019 JSME. This paper focuses on the control design and stability analysis of an awareness Susceptible-Exposed-Infected-Vigilant (SEIV) epidemic system which has two infectious states over arbitrary directed networks. A state feedback controller is firstly applied to the generalized SEIV model with human awareness, and explores the medical treatment usage against the epidemic propagation. After applying the control scheme into the epidemic system, the epidemic threshold condition is found to guarantee the exponential stability of the system. Simulation results are illustrated to verify the threshold condition as well as the performance of the control design which is able to reduce the epidemic outbreak and effectively inhibiting the epidemic dissemination.	en_US
dc.relation.ispartof	2019 12th Asian Control Conference, ASCC 2019	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Control Design and Stability Analysis of a Two-Infectious-State Awareness Epidemic Model	en_US
dc.type	Conference Proceeding
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2019 JSME. This paper focuses on the control design and stability analysis of an awareness Susceptible-Exposed-Infected-Vigilant (SEIV) epidemic system which has two infectious states over arbitrary directed networks. A state feedback controller is firstly applied to the generalized SEIV model with human awareness, and explores the medical treatment usage against the epidemic propagation. After applying the control scheme into the epidemic system, the epidemic threshold condition is found to guarantee the exponential stability of the system. Simulation results are illustrated to verify the threshold condition as well as the performance of the control design which is able to reduce the epidemic outbreak and effectively inhibiting the epidemic dissemination.

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http://hdl.handle.net/10453/137112