
Finite‐time event‐triggered consensus for non‐linear multi‐agent networks under directed network topology
Author(s) -
Dong Yan,
Xian Jinguo
Publication year - 2017
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/iet-cta.2017.0085
Subject(s) - consensus , topology (electrical circuits) , network topology , computer science , multi agent system , event (particle physics) , class (philosophy) , protocol (science) , distributed computing , mathematics , computer network , artificial intelligence , combinatorics , medicine , physics , alternative medicine , pathology , quantum mechanics
This study investigates the finite‐time consensus problem for a class of first‐order non‐linear multi‐agent networks under directed network topology. A novel non‐linear consensus protocol is proposed based on event‐triggered strategy. By using the combinational measurement approach, two kinds of event triggers are designed, one depends on continuous communications between the agents, the other avoids the continuous communications. For such two classes of event‐triggers, sufficient conditions guaranteeing the finite‐time consensus are derived, respectively, provided that the coupling network topology contains at least a rooted directed spanning tree. Meanwhile, some numerical simulations are given to illustrate the effectiveness of the theoretical results.