
Leaderless and leader‐following consensus for heterogeneous multi‐agent systems with random link failures
Author(s) -
Kim Jae Man,
Park Jin Bae,
Choi Yoon Ho
Publication year - 2014
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.2012.0855
Subject(s) - multi agent system , computer science , link (geometry) , protocol (science) , adjacency matrix , lyapunov function , control theory (sociology) , network topology , lyapunov stability , consensus , bernoulli distribution , bernoulli's principle , topology (electrical circuits) , mathematical optimization , distributed computing , mathematics , control (management) , random variable , computer network , theoretical computer science , engineering , artificial intelligence , graph , nonlinear system , alternative medicine , aerospace engineering , pathology , quantum mechanics , medicine , statistics , physics , combinatorics
This study investigates the heterogeneous consensus problem for multi‐agent systems with random link failures between each agent. The discrete‐time heterogeneous multi‐agent systems are described by first‐order and second‐order dynamics, and the communication network is assumed to be directed with fixed topology. Since each link between the agents is subject to failure with a certain probability, the control protocol is designed considering the random link failures. The random link failures are presented by a Bernoulli probability sequence, that is, the control protocol for failure occurrence is designed using the one step previous data that is sent by adjacency neighbouring agents. The control protocol for heterogeneous multi‐agent systems is designed for first‐order dynamics and second‐order dynamics using the Lyapunov method. The mean square stability is shown for leaderless and leader‐following heterogeneous multi‐agent systems in terms of a set of linear matrix inequalities, and some simulation results are provided to verify the effectiveness of the proposed methods.