Fully Distributed Resilient State Estimation Based on Distributed Median Solver

Jin Gyu Lee, Junsoo Kim, Hyungbo Shim

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

In this article, we present a scheme of fully distributed resilient state estimation for linear dynamical systems under sensor attacks. The proposed state observer consists of a network of local observers, where each of them utilizes local measurements and information transmitted from the neighbors. As a fully distributed scheme, it does not necessarily collect a majority of sensing data for the sake of attack identification, whereas the compromised sensors are eventually identified by the distributed network and excluded from the observers. For this, the overall network (not the individual local observer) is assumed to have redundant sensors and assumed to be connected. The proposed scheme is based on a novel design of a distributed median solver, which approximately recovers the median value of local estimates.

Original languageEnglish
Article number9075437
Pages (from-to)3935-3942
Number of pages8
JournalIEEE Transactions on Automatic Control
Volume65
Issue number9
DOIs
StatePublished - Sep 2020

Keywords

  • Analytical redundancy
  • attack detection
  • attack resilience
  • blended dynamics
  • cyber-physical systems
  • heterogeneous multiagents
  • resilient state estimation
  • strong coupling

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