Estimation and Compensation of False Data Injection Attacks in LPV System Actuators

Authors

  • Pedro O. F. Pires Graduando em Engenharia Elétrica, Universidade Federal de Minas Gerais
  • Márcia L. C. Peixoto LAMIH UMR CNRS 8201, Université Polytechnique Hauts-de-France
  • Pedro H. S. Coutinho Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro
  • Reinaldo M. Palhares Departamento de Engenharia Eletrônica, Universidade Federal de Minas Gerais

Keywords:

Intermediate-variable-based estimator, Linear matrix inequalities, False data injection attack, Cyber-physical systems, Linear parameter varying systems

Abstract

This paper proposes a strategy for estimating false data injection (FDI) attacks on actuators of linear systems with varying parameters (LPV). A gain-scheduled intermediate variable-based estimator is developed and a condition via linear matrix inequalities (LMI) is proposed so that the dynamics of the estimation errors are input-to-state stable (ISS) with respect to the difference between samples of the attack sequence on the actuators. The estimator gain matrices can be found by solving a convex optimization problem subject to LMI constraints. Furthermore, a strategy for compensating the attack on the system is also proposed, in the context of attack-tolerant control.

Downloads

Published

2024-10-18

Issue

Vol. 4 No. 1 (2024): CBA2024

Section

Articles