A resilient consensus algorithm with inputs for the distributed monitoringof cyber-physical systems

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 ex...

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Bibliographic Details
Published in:Control engineering practice Vol. 154; p. 106166
Main Authors: Manfredi, Sabato, Angeli, David, Tortora, Ciro
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.01.2025
Subjects:
Cyber–physical systems
Resilient distributed consensus algorithms
Wireless sensor networks
Resilient distributed consensus algorithms
Wireless sensor networks
Cyber–physical systems
ISSN:0967-0661
Online Access:Get full text
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Summary: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. •Extends MSR-type algorithms for resilient consensus in MASs with input signals.•Provides necessary and sufficient conditions for resilient consensus in MASs.•Validates effectiveness in Cyber-Physical Systems (CPSs) via monitoring experiments.•Introduces fault detection and recovery algorithms for resilient consensus in CPSs.•Advances resilient consensus in MASs, enhancing security and fault tolerance.
ISSN:0967-0661
DOI:10.1016/j.conengprac.2024.106166