期刊
NEUROCOMPUTING
卷 175, 期 -, 页码 401-410出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2015.10.072
关键词
Exponential passivity analysis; Stochastic neural network; Markovian jumping parameter; Leakage delay; Distributed delay
资金
- National Natural Science Foundation of China [61374080]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
This paper deals with the problem of exponential passivity of Markovian jumping stochastic neural networks with leakage and distributed delays. By constructing a proper Lyapunov-Krasovskii functional, utilizing the free-weighting matrix method and some stochastic analysis techniques, we deduce new delay-dependent sufficient conditions that ensure the passivity of the proposed model. These sufficient conditions are computationally efficient and they can be solved numerically by linear matrix inequality (LMI) toolbox in Matlab. Finally, numerical examples are given to verify the effectiveness and the applicability of the proposed results. (C) 2015 Elsevier B.V. All rights reserved.
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