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

2019/04/06 by Tianci Yang, Yang, Tianci, Carlos Murguia +5
Engineering · Computer Science · #Smart Grid Security and Resilience #Fault Detection and Control Systems #Security and Verification in Computing

paper · pdf · doi:10.48550/arxiv.1904.04237

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.

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