An Unknown Input Multi-Observer Approach for Estimation and Control under Adversarial Attacks

Tianci Yang (Corresponding author), C.G. Murguia Rendon, Margreta Kuijper, Dragan Nešić

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We address the problem of state estimation, attack isolation, and control of discrete-time linear time-invariant systems under (potentially unbounded) actuator and sensor false data injection attacks. Using a bank of unknown input observers, each observer leading to an exponentially stable estimation error (in the attack-free case), we propose an observer-based estimator that provides exponential estimates of the system state in spite of actuator and sensor attacks. Exploiting sensor and actuator redundancy, the estimation scheme is guaranteed to work if a sufficiently small subset of sensors and actuators are under attack. Using the proposed estimator, we provide tools for reconstructing and isolating actuator and sensor attacks; and a control scheme capable of stabilizing the closed-loop dynamics by switching off isolated actuators. Simulation results are presented to illustrate the performance of our tools.
Original languageEnglish
Article number9214921
Pages (from-to)475-486
Number of pages12
JournalIEEE Transactions on Control of Network Systems
Volume8
Issue number1
DOIs
Publication statusPublished - Mar 2021

Keywords

  • Actuators
  • Observers
  • Switches
  • Tools
  • Unknown input observers
  • control
  • cyber-physical systems
  • linear systems
  • sensor and actuator attacks

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