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Co-design of distributed dynamic event-triggered scheme and extended dissipative consensus control for singular Markov jumping multi-agent systems under periodic Denial-of-Service jamming attacks.

Authors :
Wang, Haotian
Chen, Fei
Wang, Yanqian
Source :
Expert Systems with Applications. Oct2024, Vol. 251, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

This paper introduces a distributed dynamic event-triggered (DDET) controller meticulously crafted to achieve resilient consensus control in singular Markov jumping multi-agent systems (SMJMAs) even in the face of periodic Denial-of-Service (DoS) jamming attacks. With a dual focus on optimizing network resource utilization and fortifying against cyber threats, we propose a distributed dynamic event-triggered scheme (DDETS) grounded in the principles of sampled data consensus. In the presence of cyber attacks, we demonstrate the transformation of the original consensus control challenge within the singular multi-agent system into a robust stability control problem, centering around a singular switching error system governed by the DoS attack signal. Acknowledging the disturbances that typify real-world scenarios, this paper establishes criteria for attaining exponential stability and stochastic admissibility within the singular Markov jumping switching error system under the extended dissipative performance index. Furthermore, we present a hybrid design for the consensus controller and DDETS, delineated through a set of solvable linear matrix inequalities (LMIs). Finally, a comprehensive array of numerical examples meticulously illustrates the compelling effectiveness and unequivocal superiority of our proposed methodology. • A novel distributed dynamic event-triggered scheme under DoS attacks is proposed. • Exponential consensus for singular Markov multi-agent systems is achieved. • An extended dissipative consensus controller is designed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09574174
Volume :
251
Database :
Academic Search Index
Journal :
Expert Systems with Applications
Publication Type :
Academic Journal
Accession number :
177514329
Full Text :
https://doi.org/10.1016/j.eswa.2024.124091