Work

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

Year: 2024

Type: 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.

Source: Control Engineering Practice

DOI: 10.1016/j.conengprac.2024.106166

Authors: Sabato Manfredi, David Angeli, Ciro Tortora

Institutions: University of Naples Federico II, University of Florence, Imperial College London, Terna (Italy)

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,920

Funders: European Commission, Ministero dell’Istruzione, dell’Università e della Ricerca