Paper Info
Title
Lag Synchronization of Uncertain Chaotic Neural Networks with Mixed Time-Varying Delays Based on Adaptive Control
Abstract
In this paper, the adaptive lag synchronization control problem for uncertain chaotic neural networks with parameters perturbation is investigated. Both the discrete and distributed time-varying delays terms are considered to model a more realistic dynamical behavior of systems in practice. Based on the Lyapunov functional method and the adaptive feedback technique, several new criteria are derived to guarantee the synchronization of the uncertain chaotic neural networks. Finally, some convincing simulation examples are given to present the effectiveness of the theoretical results.
Year
DOI
Venue
2009
10.1109/CIS.2009.46
CIS (1)
Keywords
Field
DocType
theoretical result,mixed time-varying delays,adaptive lag synchronization control,new criterion,parameters perturbation,chaos,time-varying systems,lag synchronization,mixed time-varying,adaptive feedback technique,uncertain chaotic neural network,lyapunov functional method,mean square asymptotic stability,delays,uncertain chaotic neural networks,adaptive control,discrete and distributed time-varying delays,adaptive lag synchronization,realistic dynamical behavior,convincing simulation example,delays term,neural nets,mixing time,synchronization,artificial neural networks,couplings,adaptive systems,lyapunov function,stability analysis,asymptotic stability
Mathematical optimization,Synchronization,Computer science,Adaptive system,Control theory,Adaptive control,Artificial neural network,Chaotic neural network,Lag,Perturbation (astronomy),Synchronization of chaos
Conference
Volume
ISBN
Citations 
1
978-1-4244-5411-2
0
PageRank 
References 
Authors
0.34
1
5
Name
Order
Citations
PageRank
Xiaozheng Mou192.35
Wuneng Zhou246753.74
Lin Pan3569.06
Qingyu Zhu4656.61
Jian'an Fang5806.91