一类参数不确定的混沌时滞神经网络的自适应同步

2010 2nd IEEE International Conference on Information Management and Engineering Pub Date : 2010-06-03 DOI:10.1109/ICIME.2010.5477843

Dong Zhang

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摘要

研究了一类参数不确定的混沌时滞神经网络的自适应同步问题。基于李雅普诺夫稳定性理论和自适应控制理论，针对不同的未知参数，提出了两种不同的自适应控制器。数值模拟验证了分析结果，并证明了两种方法的有效性。

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Adaptive synchronization of a class of chaotic time-delayed neural networks with uncertain parameters

In this letter, the problem of adaptive synchronization of a class of chaotic time-delayed neural networks with uncertain parameters is studied. Based on Lyapunov stability theory and the adaptive control theory, two different kinds of adaptive controllers are presented for different unknown parameters. Numerical simulations demonstrate the analytical results and show the efficiency of the both approaches.

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2010 2nd IEEE International Conference on Information Management and Engineering

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