控制理论与应用2012，Vol.29Issue(8)：1017-1024,8.
一种新的复杂动态网络学习控制的自适应同步算法
New adaptive synchronization algorithm for complex dynamical networks via learning control approach
摘要
Abstract
A new adaptive learning control approach for the synchronization of complex dynamical networks with unknown time-varying parameters is proposed.By using the reparameterization technique,the adaptive learning laws of periodically time-varying and constant parameters and an adaptive control strategy are designed to ensure the asymptotic convergence of the synchronization error.Then,a sufficient condition of the synchronization is given by constructing a composite energy function.Finally,an example of the complex network is used to verify the effectiveness of proposed approach.关键词
同步/复杂动态网络/时变耦合强度/自适应学习控制Key words
synchronization/complex dynamical networks/time-varying coupling strength/adaptive learning control分类
信息技术与安全科学引用本文复制引用
郭晓永,李俊民..一种新的复杂动态网络学习控制的自适应同步算法[J].控制理论与应用,2012,29(8):1017-1024,8.基金项目
This work was supported by the the National Natural Science Foundation of China (No.60974139),the Fundamental Research Funds for the Central Universities of China (No.72103676),the Scientific Research Fund of Yunnan Education Department (No.2012Z150C),and the Research Subject of Lincang Teacher's College (No.LCSZL2012005). （No.60974139）
