DocumentCode
1361952
Title
Synchronization of Continuous Dynamical Networks With Discrete-Time Communications
Author
Wang, Yan-Wu ; Xiao, Jiang-Wen ; Wen, Changyun ; Guan, Zhi-Hong
Author_Institution
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
22
Issue
12
fYear
2011
Firstpage
1979
Lastpage
1986
Abstract
In this paper, synchronization of continuous dynamical networks with discrete-time communications is studied. Though the dynamical behavior of each node is continuous-time, the communications between every two different nodes are discrete-time, i.e., they are active only at some discrete time instants. Moreover, the communication intervals between every two communication instants can be uncertain and variable. By choosing a piecewise Lyapunov-Krasovskii functional to govern the characteristics of the discrete communication instants and by utilizing a convex combination technique, a synchronization criterion is derived in terms of linear matrix inequalities with an upper bound for the communication intervals obtained. The results extend and improve upon earlier work. Simulation results show the effectiveness of the proposed communication scheme. Some relationships between the allowable upper bound of communication intervals and the coupling strength of the network are illustrated through simulations on a fully connected network, a star-like network, and a nearest neighbor network.
Keywords
Lyapunov methods; continuous systems; discrete time systems; linear matrix inequalities; synchronisation; communication intervals; continuous dynamical networks; convex combination technique; coupling strength; discrete communication; discrete-time communications; fully connected network; linear matrix inequalities; nearest neighbor network; piecewise Lyapunov-Krasovskii functional; star-like network; synchronization criterion; upper bound; Chaotic communication; Couplings; Delay; Linear matrix inequalities; Synchronization; Upper bound; Complex dynamical network; discrete-time communication; sampled-data system; synchronization; Algorithms; Artificial Intelligence; Computer Communication Networks; Computer Simulation; Models, Theoretical; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/TNN.2011.2171501
Filename
6060918
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