Stochastic stability of neural networks with both Markovian jump parameters and continuously distributed delays.
Zhu, Quanxin, Cao, Jinde (2009)
Discrete Dynamics in Nature and Society
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Zhu, Quanxin, Cao, Jinde (2009)
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Mathematical Problems in Engineering
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International Journal of Applied Mathematics and Computer Science
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The paper is concerned with stability analysis for a class of impulsive Hopfield neural networks with Markovian jumping parameters and time-varying delays. The jumping parameters considered here are generated from a continuous-time discrete-state homogenous Markov process. By employing a Lyapunov functional approach, new delay-dependent stochastic stability criteria are obtained in terms of linear matrix inequalities (LMIs). The proposed criteria can be easily checked by using some standard...
Zhou, Jianting, Song, Qiankun, Yang, Jianxi (2009)
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Discrete Dynamics in Nature and Society
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