Detection and Identification of Cyberattacks and Physical Faults in Multi-Agent Systems: A Distributed Disturbance Decoupling Observer

Yuxiang Hu, Xuewu Dai*, Dongliang Cui, Tianyou Chai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This article investigates the detection and identification of physical faults in devices and false-data-injection attacks in communication networks for multi-agent systems with event-triggered transmission mechanisms and subject to external periodic disturbances. First, a new detection and identification scheme, including a local disturbance decoupling (LDD) observer and a distributed disturbance decoupling (DDD) observer, is proposed. Then, based on zero-assignment and the rank-deficiency of the transfer function matrix at zeros, a co-design method for the LDD observer and DDD observer is proposed, which enables the decoupling of periodic disturbances from the residuals for detection and identification. This new scheme no longer requires the transmission of control signals from the node being monitored or the exchange of information between its neighbors, significantly reducing the communication overhead and enhancing the system's security. Finally, a simulation based on a multi-two-wheeled trolley system is used to verify the effectiveness of the proposed method.
Original languageEnglish
Pages (from-to)2991-3001
Number of pages11
JournalIEEE Transactions on Industrial Informatics
Volume20
Issue number2
Early online date9 Aug 2023
DOIs
Publication statusPublished - 1 Feb 2024

Cite this