摘要
针对状态矩阵具有互不相等负特征值的多维连续线性系统,提出了一种基于采样数据的混沌反控制方法·该方法首先将连续系统离散化,然后利用离散系统混沌反控制方法设计状态反馈控制器,使原来的连续系统产生Li Yorke意义下的混沌·所设计的控制器以给定的采样周期对连续系统进行采样,由采样数据构造控制器,在每个采样周期内保持控制项不变·并给出了混沌反控制律的推导及控制器参数的设计方法·数值仿真结果证实了该方法的有效性和可行性·
An anticontrol method for a class of multi-dimensional uninterrupted linear systems with state matrix featured with different negative eigenvalues is proposed by using sampled data. The method makes the given multi-dimensional uninterrupted linear systems in such chaos as what Li and Yorke meant by discretizing it then designing a state feedback controller in accordance to an anticontrol method for a discrete time systems. The system state variables are sampled at a given sampling rate and they are used to construct a discrete time state feedback controller to make the continuous-time linear system chaotic. During each sampling period, the feedback control input remains unchanged. The law of chaotic anticontrol is derived with a systematic procedure of design parameters provided to the feedback controller. Simulation results verified the effectiveness of the proposed method.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2004年第8期727-730,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(60274017)
教育部博士点基金资助项目(20011045023)
关键词
混沌控制
反控制
状态反馈
连续系统
采样数据
chaotic control
anticontrol
state feedback
uninterrupted linear system
sampled data
