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Exponential Consensus for Nonlinear Multi‐Agent Systems with Communication and Input Delays via Hybrid Control
Author(s) -
Wang Yangling,
Cao Jinde,
Wang Haijun,
Alsaedi Ahmed,
Alsaadi Fuad E.
Publication year - 2018
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1634
Subject(s) - convergence (economics) , nonlinear system , control theory (sociology) , disjoint sets , topology (electrical circuits) , multi agent system , lyapunov function , exponential growth , exponential function , mathematics , network topology , computer science , consensus , exponential stability , control (management) , differential (mechanical device) , discrete mathematics , engineering , mathematical analysis , artificial intelligence , physics , quantum mechanics , combinatorics , aerospace engineering , economics , economic growth , operating system
This paper aims to investigate the exponential leader‐following consensus for nonlinear multi‐agent systems with time‐varying communication and input delays by using hybrid control. Based on the Lyapunov functional method, impulsive differential equation theory and matrix analysis, we show that all the followers can achieve leader‐following consensus with the virtual leader exponentially even if only a fraction of followers can obtain the leader's information. Two classes of exponential consensus criteria as well as the convergence rates for the controlled multi‐agent systems are presented under very relaxed interaction topology conditions, i.e. , the directed interaction topology among the followers is only required to have p ( p >1) disjoint strong components. Finally, two numerical examples are given to validate the proposed theoretical results.