Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/80061
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Type: Journal article
Title: Sampled-Data exponential synchronization of complex dynamical networks with time-varying coupling delay
Author: Wu, Z.
Shi, P.
Su, H.
Chu, J.
Citation: IEEE Transactions on Neural Networks and Learning Systems, 2013; 24(8):1177-1187
Publisher: IEEE
Issue Date: 2013
ISSN: 2162-237X
2162-2388
Statement of
Responsibility: 
Zheng-Guang Wu, Peng Shi, Hongye Su, and Jian Chu
Abstract: This paper studies the problem of sampled-data exponential synchronization of complex dynamical networks (CDNs) with time-varying coupling delay and uncertain sampling. By combining the time-dependent Lyapunov functional approach and convex combination technique, a criterion is derived to ensure the exponential stability of the error dynamics, which fully utilizes the available information about the actual sampling pattern. Based on the derived condition, the design method of the desired sampled-data controllers is proposed to make the CDNs exponentially synchronized and obtain a lower-bound estimation of the largest sampling interval. Simulation examples demonstrate that the presented method can significantly reduce the conservatism of the existing results, and lead to wider applications.
Keywords: Complex dynamical networks (CDNs); exponential synchronization; sampled-data control; time-varying coupling delay
Rights: © 2013 IEEE
RMID: 0020130984
DOI: 10.1109/TNNLS.2013.2253122
Appears in Collections:Electrical and Electronic Engineering publications

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