Uniform Stability Analysis of Fractional-Order BAM Neural Networks with Delays in the Leakage Terms
Uniform Stability Analysis of Fractional-Order BAM Neural Networks with Delays in the Leakage Terms
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DOI：
10.1155/2014/261930
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发表时间：
2014-06
影响因子：
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通讯作者：
Xujun Yang;Q. Song;Yurong Liu;Zhenjiang Zhao
中科院分区：
文献类型：
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作者：
Xujun Yang;Q. Song;Yurong Liu;Zhenjiang Zhao
研究了一类泄漏项具有时滞的分数阶BAM神经网络。利用不等式技巧和分析方法，给出了保证此类网络一致稳定的时滞相关充分条件。此外，还得到了保证平衡点存在、唯一和稳定的充分条件。最后给出了三个仿真算例，验证了所得结果的有效性.
A class of fractional-order BAM neural networks with delays in the leakage terms is considered. By using inequality technique and analysis method, several delay-dependent sufficient conditions are established to ensure the uniform stability of such networks. Moreover, the sufficient conditions guaranteeing the existence, uniqueness, and stability of the equilibrium point are also obtained. In addition, three simulation examples are given to demonstrate the effectiveness of the obtained results.