Open AccessDistributed resilient flocking control of multi‐agent systems through event/self‐triggered communication
Author(s) -
Amirian Neda,
Shamaghdari Saeed
Publication year - 2021
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/cth2.12061
Subject(s) - flocking (texture) , computer science , distributed computing , subsequence , multi agent system , convergence (economics) , scheme (mathematics) , telecommunications network , control theory (sociology) , control (management) , computer network , mathematics , artificial intelligence , bounded function , mathematical analysis , materials science , composite material , economics , economic growth
This paper proposes a distributed control scheme for multi‐agent systems to achieve resilient flocking behaviour via event‐based communication. The control scheme can provide the required connectivity conditions to form a flock in the presence of cyberattacks in the network. This method is presented in a fully distributed manner to avoid the use of global data. The developed event‐triggered update rules can mitigate the influence of the non‐cooperative agents with the weighted mean subsequence‐reduced algorithm and reduce unnecessary communication among them. It is proved that under the proposed method, convergence is guaranteed and there is no Zeno behaviour exhibited inherently. To relax the requirement of continuous monitoring of self‐state, a self‐triggered mechanism is proposed further. Simulation results are given to illustrate the theoretical analysis and show the advantages of the event‐ and self‐triggered controllers.