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Passivity analysis of stochastic time-delay neural networks |
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| Authors: | Yun Chen Huijiao Wang Anke Xue Renquan Lu |
| Affiliation: | 1. Institute of Operational Research and Cybernetics, Hangzhou Dianzi University, Hangzhou, 310018, P.R. China 2. Institute of Automation, Zhejiang Sci-Tech University, Hangzhou, 310018, P.R. China 3. Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, 310018, P.R. China |
| Abstract: | Passivity analysis of stochastic neural networks with time-varying delays and parametric uncertainties is investigated in this paper. Passivity of stochastic neural networks is defined. Both delay-independent and delay-dependent stochastic passivity conditions are presented in terms of linear matrix inequalities (LMIs). The results are established by using the Lyapunov–Krasovskii functional method. In order to derive the delay-dependent passivity criterion, some free-weighting matrices are introduced. The effectiveness of the method is illustrated by numerical examples. |
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