A factored MDP approach to optimal mechanism design for resihent large-scale interdependent critical infrastructures

Linan Huang, Juntao Chen, Quanyan Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Enhancing the security and resilience of interdependent infrastructures is crucial. In this paper, we establish a theoretical framework based on Markov decision processes (MDPs) to design optimal resiliency mechanisms for interdependent infrastructures. We use MDPs to capture the dynamics of the failure of constituent components of an infrastructure and their cyber-physical dependencies. Factored MDPs and approximate linear programming are adopted for an exponentially growing dimension of both state and action spaces. Under our approximation scheme, the optimally distributed policy is equivalent to the centralized one. Finally, case studies in a large-scale interdependent system demonstrate the effectiveness of the control strategy to enhance the network resilience to cascading failures.

Original languageEnglish (US)
Title of host publication2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2017 - Held as part of CPS Week, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509064397
DOIs
StatePublished - Oct 10 2017
Event2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2017 - Pittsburgh, United States
Duration: Apr 21 2017 → …

Publication series

Name2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2017 - Held as part of CPS Week, Proceedings

Other

Other2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2017
Country/TerritoryUnited States
CityPittsburgh
Period4/21/17 → …

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Computer Networks and Communications
  • Modeling and Simulation

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