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一类时滞递归神经网络间的鲁棒自适应同步
引用本文:王占山,张化光,关焕新.一类时滞递归神经网络间的鲁棒自适应同步[J].系统仿真学报,2007,19(22):5182-5186.
作者姓名:王占山  张化光  关焕新
作者单位:1. 东北大学信息科学与工程学院,沈阳,110004
2. 东北大学信息科学与工程学院,沈阳,110004;沈阳工程学院,沈阳,110014
基金项目:国家自然科学基金;教育部长江学者计划及创新团队资助的课题
摘    要:针对一类具有不同吸引子的时滞递归神经网络间的同步问题,提出了一个自适应同步控制策略,建立了具有不同吸引子的两个神经网络间全局鲁棒同步的一个新判据。所提出的自适应同步控制策略不仅适用于结构已知的神经网络,而且也适用于不同结构和部分参数已知的神经网络,且对未知参数部分,由自适应更新律来辨识其参数。所提出的同步判据容易验证和控制律容易实现,数值仿真验证了所提方法的有效性。

关 键 词:递归神经网络  吸引子  同步  自适应控制
文章编号:1004-731X(2007)22-5182-05
收稿时间:2006-09-13
修稿时间:2006-12-30

Robust Adaptive Synchronization of a Class of Delayed Recurrent Neural Networks
WANG Zhan-shan,ZHANG Hua-guang,GUAN Huan-xin.Robust Adaptive Synchronization of a Class of Delayed Recurrent Neural Networks[J].Journal of System Simulation,2007,19(22):5182-5186.
Authors:WANG Zhan-shan  ZHANG Hua-guang  GUAN Huan-xin
Institution:1. School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; 2. Department of Continuous Education, Shenyang Institute of Engineering, Shenyang 110034, China
Abstract:An adaptive control scheme was proposed for the synchronization of a class of delayed recurrent neural networks with different attractors. A new sufficient criterion for the global robust synchronization of this kind of recurrent neural networks was derived. The proposed control scheme can be applied to the delayed recurrent neural networks with either known structure or unknown structure with partly known interconnection weight matrices, where the unknown weight matrix can be identified by the adaptive updating laws. The adaptive control method is efficient and easy to be implemented. Numerical simulation is used to show the effectiveness of the obtained result.
Keywords:recurrent neural networks  attractor  synchronization  adaptive control
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