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https://hdl.handle.net/2440/96623
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Type: | Journal article |
Title: | Adaptive synchronization for neutral-type neural networks with stochastic perturbation and Markovian switching parameters |
Author: | Zhou, W. Zhu, Q. Shi, P. Su, H. Fang, J. Zhou, L. |
Citation: | IEEE Transactions on Cybernetics, 2014; 44(12):2848-2860 |
Publisher: | IEEE |
Issue Date: | 2014 |
ISSN: | 2168-2267 2168-2275 |
Statement of Responsibility: | Wuneng Zhou, Qingyu Zhu, Peng Shi, Hongye Su, Jian’an Fang, and Liuwei Zhou |
Abstract: | In this paper, the problem of adaptive synchronization is investigated for stochastic neural networks of neutral-type with Markovian switching parameters. Using the M-matrix approach and the stochastic analysis method, some sufficient conditions are obtained to ensure three kinds of adaptive synchronization for the stochastic neutral-type neural networks. These three kinds of adaptive synchronization include the almost sure asymptotical synchronization, exponential synchronization in p th moment and almost sure exponential synchronization. Some numerical examples are provided to illustrate the effectiveness and potential of the proposed design techniques. |
Keywords: | Adaptive synchronization; M-matrix; Markovian switching; neutral-type neural network |
Rights: | © 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. |
DOI: | 10.1109/TCYB.2014.2317236 |
Grant ID: | http://purl.org/au-research/grants/arc/DP140102180 |
Published version: | http://dx.doi.org/10.1109/tcyb.2014.2317236 |
Appears in Collections: | Aurora harvest 7 Electrical and Electronic Engineering publications |
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