An adaptive control architecture for cyber-physical system security in the face of sensor and actuator attacks and exogenous stochastic disturbances

Xu Jin, Wassim M. Haddad, Tomohisa Hayakawa

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

In this paper, we propose a novel adaptive control architecture for addressing security and safety in cyber-physical systems subject to exogenous disturbances. Specifically, we develop an adaptive controller for time-invariant, state-dependent adversarial sensor and actuator attacks in the face of stochastic exogenous disturbances modelled as Markov processes. We show that the proposed controller guarantees uniform ultimate boundedness of the closed-loop dynamical system in a mean-square sense. We further discuss the practicality of the proposed approach and provide a numerical example involving the lateral directional dynamics of an aircraft to illustrate the efficacy of the proposed adaptive control architecture.

Original languageEnglish
Pages (from-to)39-56
Number of pages18
JournalCyber-Physical Systems
Volume4
Issue number1
DOIs
StatePublished - Jan 2 2018

Bibliographical note

Publisher Copyright:
© 2018, © 2018 Taylor & FrancisInforma UK Limited, trading as Taylor & Francis Group.

Keywords

  • Markov processes
  • Sensor and actuator attacks; adaptive control
  • cyber-physical systems
  • stochastic disturbances
  • uniform boundedness in probability

ASJC Scopus subject areas

  • Computational Mechanics
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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