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https://hdl.handle.net/2440/96141
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Type: | Journal article |
Title: | Synchronization of delayed neural networks with Lévy noise and Markovian switching via sampled data |
Author: | Yang, J. Zhou, W. Shi, P. Yang, X. Zhou, X. Su, H. |
Citation: | Nonlinear Dynamics, 2015; 81(3):1179-1189 |
Publisher: | Springer |
Issue Date: | 2015 |
ISSN: | 0924-090X 1573-269X |
Statement of Responsibility: | Jun Yang, Wuneng Zhou, Peng Shi, Xueqing Yang, Xianghui Zhou, Hongye Su |
Abstract: | In this paper, the problem of synchronization via sampled-data control is considered for stochastic delayed neural networks with Lévy noise and Markovian switching. The purpose of the problem addressed is to derive a sufficient condition and a sampled-data control law such that the dynamics of the error system is stable in mean square, and thus the synchronization can be achieved for the master system and the slave system. By generalized Itô’s formula and the construction of Lyapunov functional, an LMI-based sufficient condition is established to ensure the synchronization of the two systems. The control law is determined simultaneously, which depends on the switching mode, time delay, and the upper bound of sampling intervals. A numerical example is provided to verify the usefulness of the proposed criterion. |
Keywords: | Lévy noise; Lyapunov functional; Markovian switching; neural networks; sampled-data; synchronization |
Rights: | © Springer Science+Business Media Dordrecht 2015 |
DOI: | 10.1007/s11071-015-2059-4 |
Grant ID: | http://purl.org/au-research/grants/arc/DP140102180 http://purl.org/au-research/grants/arc/LP140100471 |
Published version: | http://dx.doi.org/10.1007/s11071-015-2059-4 |
Appears in Collections: | Aurora harvest 3 Electrical and Electronic Engineering publications |
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