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
Link To Document :
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