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

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Samenvatting

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.
Originele taal-2Engels
Artikelnummer9214921
Pagina's (van-tot)475-486
Aantal pagina's12
TijdschriftIEEE Transactions on Control of Network Systems
Volume8
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - mrt 2021

Vingerafdruk Duik in de onderzoeksthema's van 'An Unknown Input Multi-Observer Approach for Estimation and Control under Adversarial Attacks'. Samen vormen ze een unieke vingerafdruk.

Citeer dit