Secure state estimation for Cyber Physical Systems with sparse malicious packet drops

Gabriella Fiore, Young Hwan Chang, Qie Hu, Maria Domenica Di Benedetto, Claire J. Tomlin

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

6 Scopus citations

Abstract

In this paper we investigate how to correctly estimate the state of a linear system in a discrete time setting, when the communication between sensors and/or actuators with the controller is corrupted by sparse attacks. We give conditions for the system to be resilient against malicious packet drops without assuming that the attacker follows any specific probabilistic model. The performance of the proposed algorithm is demonstrated through numerical simulations, where a flexible payload is transported by a group of Unmanned Aerial Vehicles (UAVs).

Original languageEnglish (US)
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1898-1903
Number of pages6
ISBN (Electronic)9781509059928
DOIs
StatePublished - Jun 29 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: May 24 2017May 26 2017

Other

Other2017 American Control Conference, ACC 2017
CountryUnited States
CitySeattle
Period5/24/175/26/17

Keywords

  • Cyber-Physical System (CPS)
  • error correction
  • Secure estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Fiore, G., Chang, Y. H., Hu, Q., Di Benedetto, M. D., & Tomlin, C. J. (2017). Secure state estimation for Cyber Physical Systems with sparse malicious packet drops. In 2017 American Control Conference, ACC 2017 (pp. 1898-1903). [7963229] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC.2017.7963229