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https://hdl.handle.net/2440/81858
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Type: | Journal article |
Title: | Stochastic synchronization of Markovian jump neural networks with time-varying delay using sampled data |
Author: | Wu, Z. Shi, P. Su, H. Chu, J. |
Citation: | IEEE Transactions on Cybernetics, 2013; 43(6):1796-1806 |
Publisher: | IEEE |
Issue Date: | 2013 |
ISSN: | 2168-2267 2168-2275 |
Statement of Responsibility: | Zheng-Guang Wu, Peng Shi, Hongye Su, and Jian Chu |
Abstract: | In this paper, the problem of sampled-data synchronization for Markovian jump neural networks with time-varying delay and variable samplings is considered. In the framework of the input delay approach and the linear matrix inequality technique, two delay-dependent criteria are derived to ensure the stochastic stability of the error systems, and thus, the master systems stochastically synchronize with the slave systems. The desired mode-independent controller is designed, which depends upon the maximum sampling interval. The effectiveness and potential of the obtained results is verified by two simulation examples. |
Keywords: | Models, Statistical Markov Chains Stochastic Processes Sample Size Algorithms Computer Simulation Signal Processing, Computer-Assisted Neural Networks, Computer |
Rights: | © 2013 IEEE |
DOI: | 10.1109/TSMCB.2012.2230441 |
Published version: | http://dx.doi.org/10.1109/tsmcb.2012.2230441 |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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