Event-based privacy-consensus control for multiagent systems: An enhanced framework for fault-tolerance and protection against eavesdropping

Xiaoyan Hu and Dan Ye

Applied Mathematics and Computation, 2025, vol. 500, issue C

Abstract: This paper investigates the consensus problem of privacy protection for multi-agent systems (MASs) under conditions of compound faults. We develop a fault-tolerant observer that utilizes intermediate variables to estimate both the system state and compound faults, specifically addressing sensor and actuator faults in the physical layer of the system. To safeguard the privacy of communication data at the network layer, a dual protection encoding and decoding strategy is proposed. Furthermore, an intermittent event-triggered mechanism (ETM) is introduced to mitigate the computational and communication burdens imposed by the encoding algorithms. Discrete-time combination measurement values are employed to enhance the generalizability of the ETM. Within the framework of encryption and decryption, fault-tolerant consensus control algorithm is designed to counter two types of eavesdroppers, thereby achieving privacy consensus for MASs while addressing challenges associated with physical layer faults. In the end, a simulation of an island microgrid (MG) with five distributed generators (DGs) is developed to confirm the efficacy of the suggested approach.

Keywords: Multiagent systems; Privacy protection; Encryption-decryption algorithm; Intermittent event-triggered control (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300325001730
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:500:y:2025:i:c:s0096300325001730

DOI: 10.1016/j.amc.2025.129446

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().