JOURNAL ARTICLE

Dynamic event-triggered consensus control for nonlinear multi-agent systems under DoS attacks

Qiushi WangHongwei RenZhiping PengJunlin Huang

Year: 2024 Journal:   Mathematical Biosciences & Engineering Vol: 21 (2)Pages: 3304-3318   Publisher: Arizona State University

Abstract

<abstract><p>In this paper, we investigated leader-following consensus control for nonlinear multi-agent systems (MASs) experiencing denial-of-service (DoS) attacks. We proposed a distributed control strategy incorporating an adaptive scheme and a state feedback control gain to eliminate the effects of system nonlinear dynamics and uncertainties. In addition, we introduced a dynamic event-triggered control (DETC) to minimize the utilization of communication resources. Finally, we provided simulation results to show the validity of the proposed approach.</p></abstract>

Keywords:
Nonlinear system Denial-of-service attack Control theory (sociology) Control (management) Computer science Multi-agent system Event (particle physics) State (computer science) Distributed computing Artificial intelligence Algorithm Physics

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Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Mathematical and Theoretical Epidemiology and Ecology Models
Health Sciences →  Medicine →  Public Health, Environmental and Occupational Health

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