基于分布式时滞脉冲控制的时滞混沌神经网络同步。
Synchronization of chaotic neural networks with time delay via distributed delayed impulsive control.
机构信息
School of Mathematics and Statistics, Shandong Normal University, Ji'nan, 250014, PR China.
School of Mathematics and Statistics, Shandong Normal University, Ji'nan, 250014, PR China; Shandong Key Laboratory of Medical Physics and Image Processing, Shandong Normal University, Ji'nan, 250014, PR China.
出版信息
Neural Netw. 2019 Oct;118:332-337. doi: 10.1016/j.neunet.2019.07.002. Epub 2019 Jul 16.
This letter investigates the impulsive synchronization of chaotic neural networks with time delays. A novel impulsive delayed inequality is proposed, where the control effect of distributed delayed impulses is fully considered. Based on the inequality, a distributed delayed impulsive controller is proposed for exponential synchronization of chaotic neural networks. Finally, numerical examples are provided to illustrate the effectiveness of the proposed theoretical results.
这封信研究了时滞混沌神经网络的脉冲同步。提出了一个新的脉冲时滞不等式，充分考虑了分布式时滞脉冲的控制效果。基于该不等式，提出了一种用于混沌神经网络指数同步的分布式时滞脉冲控制器。最后，通过数值实例验证了所提出的理论结果的有效性。
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