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LMI Approach for Stochastic Stability of Markovian Jumping Hopfield Neural Networks with Wiener Process
Jinan, China October 16-October 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.187Sixth International Conference on Int ...
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Xuyang Lou, Southern Yangtze University, China
Baotong Cui, Southern Yangtze University, China
This paper deals with the stochastic stability problem for Markovian jumping Hopfield neural networks (MJHNNs) with time-varying delays andWiener process. Our attention is focused on developing sufficient conditions on stochastic stability, even if the system contains Wiener process. All the obtained results are presented in terms of linear matrix inequality. The effciency of the proposed results is demonstrated via two numerical examples.
Citation:
Xuyang Lou, Baotong Cui, "LMI Approach for Stochastic Stability of Markovian Jumping Hopfield Neural Networks with Wiener Process," isda, vol. 1, pp.107-112, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
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