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瞿裕忠

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期刊论文

Robust stability of stochastic delayed additive neural networks with Markovian switching

瞿裕忠He Huangab* Daniel W.C. Hob Yuzhong Quc

Neural Networks 20 (2007) 799-809,-0001,():

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摘要/描述

This paper is concerned with the problem of robust stability for stochastic interval delayed additive neural networks (SIDANN) with Markovian switching. The time delay is assumed to be time-varying. In such neural networks, the features of stochastic systems, interval systems, timevarying delay systems and Markovian switching are taken into account. The mathematical model of this kind of neural networks is first proposed. Secondly, the global exponential stability in the mean square is studied for the SIDANN with Markovian switching. Based on the Lyapunov method, several stability conditions are presented, which can be expressed in terms of linear matrix inequalities. As a subsequent result, the stochastic interval additive neural networks with time-varying delay are also discussed. A sufficient condition is given to determine its stability. Finally, two simulation examples are provided to illustrate the effectiveness of the results developed.

版权说明:以下全部内容由瞿裕忠上传于   2009年01月22日 17时11分19秒,版权归本人所有。

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