Please use this identifier to cite or link to this item:
https://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 |
DOI: | 10.1109/TNNLS.2013.2253122 |
Published version: | http://dx.doi.org/10.1109/tnnls.2013.2253122 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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