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Resilient Time-Varying Formation-Tracking of Multi-UAV Systems Against Composite Attacks: A Two-Layered Framework

Resilient Time-Varying Formation-Tracking of Multi-UAV Systems Against Composite Attacks: A Two-Layered Framework

Authors :
Gong, Xin
Basin, Michael V.
Feng, Zhiguang
Huang, Tingwen
Cui, Yukang
Source :
IEEE/CAA Journal of Automatica Sinica; 2023, Vol. 10 Issue: 4 p969-984, 16p
Publication Year :
2023

Abstract

This paper studies the countermeasure design problems of distributed resilient time-varying formation-tracking control for multi-UAV systems with single-way communications against composite attacks, including denial-of-services (DoS) attacks, false-data injection attacks, camouflage attacks, and actuation attacks (AAs). Inspired by the concept of digital twin, a new two-layered protocol equipped with a safe and private twin layer (TL) is proposed, which decouples the above problems into the defense scheme against DoS attacks on the TL and the defense scheme against AAs on the cyber-physical layer. First, a topology-repairing strategy against frequency-constrained DoS attacks is implemented via a Zeno-free event-triggered estimation scheme, which saves communication resources considerably. The upper bound of the reaction time needed to launch the repaired topology after the occurrence of DoS attacks is calculated. Second, a decentralized adaptive and chattering-relief controller against potentially unbounded AAs is designed. Moreover, this novel adaptive controller can achieve uniformly ultimately bounded convergence, whose error bound can be given explicitly. The practicability and validity of this new two-layered protocol are shown via a simulation example and a UAV swarm experiment equipped with both Ultra-WideBand and WiFi communication channels.

Details

Language :
English
ISSN :
23299266 and 23299274
Volume :
10
Issue :
4
Database :
Supplemental Index
Journal :
IEEE/CAA Journal of Automatica Sinica
Publication Type :
Periodical
Accession number :
ejs62715524
Full Text :
https://doi.org/10.1109/JAS.2023.123339