Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    or
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • Research Outputs
  • Fundings & Projects
  • People
  • Statistics
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    or
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Indian Institute of Technology Madras
  3. Publication4
  4. Reachability analysis and optimal control for epidemic spreading model on multiplex network
 
  • Details
Options

Reachability analysis and optimal control for epidemic spreading model on multiplex network

Date Issued
14-05-2019
Author(s)
Surya Prakash, M. V.
Mahindrakar, Arun D. 
Indian Institute of Technology, Madras
Pasumarthy, Ramkrishna 
Indian Institute of Technology, Madras
DOI
10.1109/INDIANCC.2019.8715623
Abstract
The study and analysis of epidemic spreading models help in mitigating the propagation of a disease and its eradication. The model studied in this article is Susceptible-Infected-Susceptible-Unaware-Aware-Unaware (SIS-UAU) on a multiplex network, which captures the simultaneous spreading of epidemic and awareness, and their interplay in a population, under the assumption that both the networks can be represented by connected, undirected graphs. The treatment and campaigning efforts with bounds arising from practical limitations are considered as admissible control inputs to each node in the network. We formulate and solve an optimal control problem where the objective is to bring down the prevalence of disease in the population in a prescribed time. As a precursor to solving this problem, we compute the reachable set of the model, which paves the way to guarantee the existence of a solution to the optimal control problem. The solution to the optimal control problem on an example network is numerically obtained using direct discretization method.
Indian Institute of Technology Madras Knowledge Repository developed and maintained by the Library

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback