Synchronization of Neural Networks with Mixed Time Delays under Information Constraints

DedongYang; He-XuSun; PengYang; Tai-HangDu

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Synchronization of Neural Networks with Mixed Time Delays under Information Constraints

机译：信息约束下具有混合时滞的神经网络的同步

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This paper investigates the synchronization problem of neural networks with mixed time delays under information constrains. The designed synchronization scheme is built on the framework of hybrid systems. Besides including nonuniform sampling, some other characteristics, such as quantization, transmission-induced delays, and data packet dropouts, are also considered. The sufficient condition that depended on network characteristics is obtained to guarantee the remote asymptotical synchronization of neural networks with mixed time delays. A numerical example is given to illustrate the validity of the proposed method.

机译：本文研究了信息约束下具有混合时滞的神经网络的同步问题。设计的同步方案建立在混合系统的框架上。除了包括非均匀采样外，还考虑了其他一些特性，例如量化，传输引起的延迟和数据包丢失。获得了依赖于网络特性的充分条件，以保证具有混合时间延迟的神经网络的远程渐近同步。数值例子说明了该方法的有效性。

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《Abstract and applied analysis》 |2013年第14期|共7页
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DedongYang; He-XuSun; PengYang; Tai-HangDu;
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Synchronization of Neural Networks with Mixed Time Delays under Information Constraints

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