非一致节点的未知复杂动态网络的自适应同步  

Adaptive synchronization for unknown complex dynamical networks with non-identical nodes

作　　者：郝修清[1] 李俊民[1] 

机构地区：[1]西安电子科技大学数学与统计学院,陕西西安710071

出　　处：《西安电子科技大学学报》2014年第4期71-76,共6页Journal of Xidian University

基　　金：国家自然科学基金资助项目(60974139);教育部博士点基金资助项目(JY0300137002;20130203110021)

摘　　要：对非一致节点的非线性耦合时变时滞未知复杂动态网络,运用学习控制方法实现自适应同步.采用信号置换技术对系统方程进行重构,将所有的未知时变项合并为1个周期时变向量,设计周期自适应学习律估计该向量.通过构造复合能量函数,得到同步的1个充分条件和所有信号的有界性.通过1个数值算例证明了所提出方法的有效性.An adaptive synchronization approach for unknown complex dynamical networks with non-identical nodes and nonlinear coupling with time-varying delays is proposed via learning control.By using the signal replacement technique and reconstructing the system equation,all unknown time-varying terms are combined into a periodically time-varying vector which is estimated by a periodic adaptive learning mechanism. A sufficient condition for the synchronization and boundedness of all signals are given by constructing a composite energy function.Finally,a numerical example is given to show the effectiveness of the designed method.

关 键 词：同步 复杂动态网络 非一致节点 自适应学习控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]