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基于无源化的细胞神经网络超混沌系统同步
引用本文:吴忠强,谭拂晓,王绍仙.基于无源化的细胞神经网络超混沌系统同步[J].物理学报,2006,55(4):1651-1658.
作者姓名:吴忠强  谭拂晓  王绍仙
作者单位:燕山大学电气工程学院,秦皇岛 066004
摘    要:根据细胞神经网络超混沌系统的特点,求得混沌驱动系统与响应系统之间的误差系统.基于该误差系统,提出了混沌系统的同步条件:使同步误差大范围渐近稳定,然后采用非线性系统的无源化方法设计了使误差系统大范围渐近稳定的反馈镇定器.四阶细胞神经网络超混沌系统的计算机仿真验证了该方法的有效性. 关键词: 混沌同步 误差系统 无源化 细胞神经网络超混沌系统

关 键 词:混沌同步  误差系统  无源化  细胞神经网络超混沌系统
收稿时间:4/8/2005 12:00:00 AM
修稿时间:2005-04-082005-12-12

The synchronization of hyper-chaotic system of cellular neural network based on passivity
Wu Zhong-Qiang,Tan Fu-Xiao,Wang Shao-Xian.The synchronization of hyper-chaotic system of cellular neural network based on passivity[J].Acta Physica Sinica,2006,55(4):1651-1658.
Authors:Wu Zhong-Qiang  Tan Fu-Xiao  Wang Shao-Xian
Institution:Institute of Electric Engineering, Yanshan University, Qinhuangdao 066004, China
Abstract:Based on a certain characteristic of cellular neural network hyper-chaotic system, an error system for the drive system and response system is got, and the problem of synchronization of hyper-chaotic system is put forward thereupon. The problem is to ensure the global approximate stability of the synchronization error system. A kind of passivity method is adopted to design stable feedback controller to ensure global approximate stability of the error system. The simulation result of the hyper-chaotic system of four order cellular neural network testifies the validity of the method.
Keywords:synchronization of chaotic system  error system  passivity  hyper-chaotic system of cellular neural network
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