NDLI: Synchronization of Continuous Dynamical Networks With Discrete-Time Communications

Content Provider	IEEE Xplore Digital Library
Author	Yan-Wu Wang Jiang-Wen Xiao Changyun Wen Zhi-Hong Guan
Copyright Year	1990
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.
Sponsorship	IEEE Computational Intelligence Society
Page Count	8
File Size	398482
Starting Page	1979
Ending Page	1986
File Format	PDF
ISSN	10459227
Volume Number	22
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Synchronization Couplings Delay Upper bound Chaotic communication Linear matrix inequalities synchronization Complex dynamical network discrete-time communication sampled-data system
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Computer Science Applications Software

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