
Quantised consensus of heterogeneous multi‐agent systems
Author(s) -
Zhu Yunru,
Zheng Yuanshi,
Wang Long
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.2014.1135
Subject(s) - multi agent system , logarithm , convergence (economics) , consensus , computer science , graph theory , graph , control theory (sociology) , mathematical optimization , distributed computing , mathematics , control (management) , theoretical computer science , artificial intelligence , mathematical analysis , combinatorics , economics , economic growth
In this study, the consensus problem of heterogeneous multi‐agent systems with quantised interactions is investigated. Distributed control laws are proposed for heterogeneous multi‐agent systems by using uniform and logarithmic quantisers, respectively. Based on graph theory and non‐smooth analysis, it is shown that the heterogeneous multi‐agent system can reach consensus with logarithmic quantisers. For uniform quantisers, some convergence results are also derived. Simulation examples are presented to illustrate the effectiveness of the theoretical results.