LMI Approach for Stochastic Stability of Markovian Jumping Hopfield Neural Networks with Wiener Process

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Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1

Jinan, China

October 16-October 18

ISBN: 0-7695-2528-8

	ASCII Text	x
	Xuyang Lou, Baotong Cui, "LMI Approach for Stochastic Stability of Markovian Jumping Hopfield Neural Networks with Wiener Process," Intelligent Systems Design and Applications, International Conference on, vol. 1, pp. 107-112, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006.

	BibTex	x
	@article{ 10.1109/ISDA.2006.187, author = {Xuyang Lou and Baotong Cui}, title = {LMI Approach for Stochastic Stability of Markovian Jumping Hopfield Neural Networks with Wiener Process}, journal ={Intelligent Systems Design and Applications, International Conference on}, volume = {1}, year = {2006}, isbn = {0-7695-2528-8}, pages = {107-112}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.187}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Intelligent Systems Design and Applications, International Conference on TI - LMI Approach for Stochastic Stability of Markovian Jumping Hopfield Neural Networks with Wiener Process SN - 0-7695-2528-8 SP107 EP112 A1 - Xuyang Lou, A1 - Baotong Cui, PY - 2006 KW - null VL - 1 JA - Intelligent Systems Design and Applications, International Conference on ER -

Xuyang Lou, Southern Yangtze University, China

Baotong Cui, Southern Yangtze University, China

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.187

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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