带时滞的复值神经网络自适应同步

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-02-01 DOI:10.1109/ICACI.2016.7449840

Haibo Bao, Ju H. Park

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引用次数: 3

摘要

研究了具有时滞的复值神经网络的同步问题。基于Lyapunov-Krasoviskii泛函和自适应反馈控制方法，建立了保证主从系统同步的充分准则。最后，通过数值算例验证了理论结果的有效性。

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Adaptive synchronization of complex-valued neural networks with time delay

In this paper, the problem of synchronization for complex-valued neural networks with time delay is investigated. Based on Lyapunov-Krasoviskii functionals and adaptive feedback control method, sufficient criteria are established to ensure the synchronization between the master and the slave systems. Finally, a numerical example is given to demonstrate the effectiveness of the theoretical results.

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2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)

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