Meta-Network Modeling and Resilience Analysis

Juntao Chen, Quanyan Zhu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this chapter, we provide meta-network modeling and investigate both static and dynamic network resilience games. We leverage the established network-of-networks model and study the decentralized decision-makings of players that control the agents at each layer of networks. Furthermore, we provide a tractable problem formulation of which the optimal solution can be computed conveniently. In both games, efficient algorithms are developed which have convergence guarantee to the equilibrium point. In the dynamic network game, the security and resilience aspects of the algorithm are extensively corroborated via simulations using multi-layer mobile autonomous systems.

Original languageEnglish (US)
Title of host publicationSpringerBriefs in Control, Automation and Robotics
PublisherSpringer
Pages13-48
Number of pages36
DOIs
StatePublished - 2020

Publication series

NameSpringerBriefs in Control, Automation and Robotics
ISSN (Print)2192-6786
ISSN (Electronic)2192-6794

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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  • Cite this

    Chen, J., & Zhu, Q. (2020). Meta-Network Modeling and Resilience Analysis. In SpringerBriefs in Control, Automation and Robotics (pp. 13-48). (SpringerBriefs in Control, Automation and Robotics). Springer. https://doi.org/10.1007/978-3-030-23444-7_3