Open AccessConnection‐graph‐based event‐triggered output consensus in multi‐agent systems with time‐varying couplings
Author(s) -
Zhang Xu,
Chen Maoyin,
Wang Ling,
Pang Zhonghua,
Zhou Donghua
Publication year - 2015
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.2013.1117
Subject(s) - graph , lyapunov function , computer science , multi agent system , control theory (sociology) , path (computing) , event (particle physics) , connection (principal bundle) , consensus , theoretical computer science , mathematics , control (management) , artificial intelligence , nonlinear system , programming language , physics , geometry , quantum mechanics
Event‐triggered strategies are effective to update local controllers in multi‐agent systems (MASs) at necessary discrete times. Based on graph theoretical reasoning, the authors study the distributed event‐triggered output consensus in MASs with time‐varying couplings. Graph theoretical reasoning provides us a Lyapunov function that fully utilises the properties of a graph such as the path between two arbitrary agents. With this function, the updating of local output‐feedback controllers is determined by connection‐graph‐based state‐dependent or time‐dependent event functions. Interesting enough, the proposed event‐triggered schemes can also be effectively extended to non‐linear MASs with time‐varying couplings. Theoretical analysis and numerical simulations verify the main results.