南京理工大学学报（自然科学版）2012，Vol.36Issue(6)：968-972,5.
含有未知参数的中立型神经网络自适应同步
Adaptive Synchronization of Neutral Neural Networks with Unknown Parameters
摘要
Abstract
Aiming at the synchronization system with unknown parameters, the adaptive synchronization control of a class of master-response systems is discussed. The dynamic behaviors of the master system and the response system are described by a class of neutral neural networks. By using Barbalat' s lemma and the adaptive control method, an adaptive controller and updating laws for the response system parameters are designed. A judgment criterion is provided to ensure the dynamic behaviors of the master system and response system to be globally synchronized. The criterion is in terms of linear matrix inequality and can be checked through MATLAB-LMI Toolbox. Simulation results verify the effectiveness and applicability of the proposed approach.关键词
未知参数/中立型神经网络/自适应同步Key words
unknown parameters/ neutral neural networks/ adaptive synchronization分类
信息技术与安全科学引用本文复制引用
屈艺,张益军,徐胜元..含有未知参数的中立型神经网络自适应同步[J].南京理工大学学报（自然科学版）,2012,36(6):968-972,5.基金项目
国家自然科学基金(60904061) （60904061）
中国博士后基金(20090461124) （20090461124）
江苏省自然科学基金(BK2008047) （BK2008047）
南京理工大学"紫金之星"基金 （）
