A resilient consensus algorithm with inputs for the distributed monitoringof cyber-physical systems
File(s)
Published version
Author(s)
Manfredi, Sabato
Angeli, David
Tortora, Ciro
Type
Journal Article
Abstract
Recent advancements in multi-agent systems (MASs) have led to the development of numerous algorithms for achieving specific objectives, such as consensus. However, security remains a major challenge in MAS consensus, particularly addressing the adversarial behavior of malicious agents. This paper explores the extension of Mean-Subsequence-Reduced (MSR) algorithm-type mechanisms for resilient dynamic consensus in the presence of input reference signals. We provide necessary and sufficient conditions for resilient dynamic consensus without relying on the presence of trusted agents. Additionally, we experimentally validate the proposed algorithm and related conditions over a small cyber–physical system used for temperature monitoring. Furthermore, we propose and experimentally validate a fault-detection and recovery algorithm to achieve a resilient dynamic average consensus of regular agents.
Date Issued
2025-01-01
Date Acceptance
2024-11-04
Citation
Control Engineering Practice, 2025, 154
ISSN
0967-0661
Publisher
Elsevier BV
Journal / Book Title
Control Engineering Practice
Volume
154
Copyright Statement
© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Identifier
10.1016/j.conengprac.2024.106166
Publication Status
Published
Article Number
106166
Date Publish Online
2024-11-21