摘要
针对一类具有时滞的部分参数未知的Liao混沌神经元系统,研究不同结构时滞Liao混沌神经元系统的自适应同步问题.基于Lyapunov稳定理论,给出了自适应控制器的设计方法及参数自适应律的解析表达式.所设计的控制器实用有效,易于实现,能够使具有时滞的两个不同结构的Liao混沌神经元系统渐近同步.仿真示例验证了该方法的有效性.
The adaptive synchronization of delayed Liao chaotic neural systems with different structure and partly unknown parameters is presented. By using Lyapunov stability theory, an adaptive synchronization controller is developed, the adaptive laws of parameters are also given. The designed controller is easily implemented in practice to guarantee the global asymptotic synchronization of state trajectories for two different delayed Liao chaotic neural systems. An illustrative example shows the effectiveness of the presented method.
出处
《控制与决策》
EI
CSCD
北大核心
2007年第9期1058-1060,1069,共4页
Control and Decision
基金
国家自然科学基金项目(60274017
60325311)
教育部博士点基金项目(20011045023)
关键词
Liao混沌神经元系统
时滞
自适应同步
不同结构
部分参数未知
Liao chaotic neural systems
Time delay
Adaptive synchronization
Different structure
Partly unknown parameters
