Control design and analysis of an epidemic seiv model upon adaptive network

Zhixun Li, Jie Hong, Jonghyuk Kim, Changbin Yu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)


    This paper focuses on the control design and stability analysis of a Susceptible-Exposed-Infected-Vigilant (SEIV) epidemic model via adaptive complex networks. The network is designed empirically as a state-dependent network, where the network structure keeps changing to inhibit the epidemic propagation. The recovery rate and the disease prevention rate are chosen as the control scheme in the epidemic system, both of which are closely associated with medical resources allocation. People may cut the connection with an infected neighbor and reduce the frequency to go out when an epidemic occurs. In order to formulate this behavior, an adaptive network structure is presented which is designed to be consistent with real human contact behaviors under epidemic prevalence. A candidate Lyapunov function is employed to analyze the system stability and guarantee the extinction of the epidemic. Simulation results are shown to illustrate the high efficiency and validity of the parameter control and the adaptive network design.

    Original languageEnglish
    Title of host publication2019 18th European Control Conference, ECC 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages6
    ISBN (Electronic)9783907144008
    Publication statusPublished - Jun 2019
    Event18th European Control Conference, ECC 2019 - Naples, Italy
    Duration: 25 Jun 201928 Jun 2019

    Publication series

    Name2019 18th European Control Conference, ECC 2019


    Conference18th European Control Conference, ECC 2019


    Dive into the research topics of 'Control design and analysis of an epidemic seiv model upon adaptive network'. Together they form a unique fingerprint.

    Cite this