Stability of stochastic neural networks with Markovian jumping parameters |
| |
Authors: | Hua Mingang Deng Feiqi Peng Yunjian |
| |
Affiliation: | Coll. of Automation Science and Engineering, South China Univ. of Technology, Guangzhou 510640, P. R. China |
| |
Abstract: | The global asymptotical stability for a class of stochastic delayed neural networks (SDNNs) with new delay-dependent stability conditions are derived. All results are expressed in terms of linear matrix inequality (LMI), and a numerical example is presented to illustrate the correctness and less conservativeness of the proposed method. |
| |
Keywords: | stochastic neural networks global asymptotical stability linear matrix inequality Markovian jumpingparameters |
本文献已被 维普 万方数据 等数据库收录! |