Distributed Resilient Observer: Blended Dynamics Theory Meets ℓ1-Minimization Approach

Donggil Lee, Junsoo Kim, Hyungbo Shim

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This letter presents a distributed resilient observer for continuous-time linear time-invariant plants that remains functional even under sensor attacks. The proposed method aims to determine the estimation outcome that matches the majority of sensor measurements, which is formulated as an ℓ 1 -minimization problem considering all the observable components of each sensor measurement. A distributed observer based on the blended dynamics theory is then proposed to solve the ℓ 1 -minimization problem in a distributed manner. As a result, the distributed resilient estimation is enabled for a broader class of systems compared to previous works. The design procedure is constructive with parameters obtained from a specified condition that is equivalent to the well-known null-space property.

Original languageEnglish
Pages (from-to)2083-2088
Number of pages6
JournalIEEE Control Systems Letters
Volume7
DOIs
StatePublished - 2023

Keywords

  • distributed control
  • Networked control systems
  • observers for linear systems

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