Journal
NEUROCOMPUTING
Volume 74, Issue 12-13, Pages 2157-2163Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2011.01.016
Keywords
Asymptotic stability; Stochastic neural networks; Markovian jumping parameters; Mixed mode-dependent delays
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Funding
- National Natural Science Foundation of PR China [61074043, 60974016]
- Natural Science Foundation of Jiangsu Province [BK2008047, BK2008188]
- Qing Lan Project
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In this paper, the problem of stability analysis for a general class of uncertain stochastic neural networks with Markovian jumping parameters and mixed mode-dependent delays is considered. By the use of a new Markovian switching Lyapunov-Krasovskii functional, delay-dependent conditions on mean square asymptotic stability are derived in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the proposed approach. (C) 2011 Published by Elsevier B.V.
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