Optimal impulse control of SIR epidemics over scale-free networks

Vladislav Taynitskiy, Elena Gubar, Quanyan Zhu

Research output: Chapter in Book/Report/Conference proceedingChapter


Recent wide spreading of Ransomware has created new challenges for cybersecurity over large-scale networks. The densely connected networks can exacerbate the spreading and makes the containment and control of the malware more challenging. In this work, we propose an impulse optimal control framework for epidemics over networks. The hybrid nature of discrete-time control policy of continuous-time epidemic dynamics together with the network structure poses a challenging optimal control problem. We leverage the Pontryagin’s minimum principle for impulsive systems to obtain an optimal structure of the controller and use numerical experiments to corroborate our results.

Original languageEnglish (US)
Title of host publicationEAI/Springer Innovations in Communication and Computing
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages11
StatePublished - 2019

Publication series

NameEAI/Springer Innovations in Communication and Computing
ISSN (Print)2522-8595
ISSN (Electronic)2522-8609


  • Impulse Controller
  • Impulsive Systems
  • Malware
  • Ransomware
  • Scale-free Networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering
  • Health Informatics


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