摘要
现实世界中许多复杂动力网络的状态不仅仅是单纯的连续变量或离散变量,而是两者同时存在与作用。基于这种现象,本文提出了一种新的拓扑切换复杂动力网络模型,并讨论了在脉冲控制下这种网络的镇定问题。最后给出了一个具体的数值示例和仿真结果,来阐明这种控制方法是有效的。
Many complex dynamical networks in real world haven＇t simplex continuous or discrete variables any more, but both continuous-state and discrete-state existence. Based on this observation, a new model of complex dynamical networks with switching topology has been proposed in this paper. The stabilization problem of the complex networks using impulsive control which has not been studied up to now is addressed. A numerical example and simulation results are given to illustrate the effectiveness of the proposed theory and approach,
出处
《复杂系统与复杂性科学》
EI
CSCD
2005年第2期24-29,共6页
Complex Systems and Complexity Science
基金
国家自然科学基金资助项目(60274004)
关键词
复杂动力网络
拓扑切换
脉冲控制
镇定
complex dynamical networks
switching topology
impulsive control
stabilization
