Zhenjiang Zhao Department of Mathematics, Huzhou Teachers College Huzhou, Zhejiang 313000, China Qiankun Song Department of Mathematics, Chongqing Jiaotong University, Chongqing 400074, China
In this paper, the problem on passivity is inves- tigated for a class of discrete-time stochastic neural networks with time-varying delays. By constructing a novel LyapunovKrasovskii functional and employing a combination of the freeweighting matrix method and stochastic analysis technique, a delay-dependent passivity criterion in linear matrix inequalities (LMIs) is derived, which is different from the existing passivity results.
New Passivity Result for Discrete-Time Stochastic Neural Networks with Time-Varying Delays;
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