Chaotic Motion Control Based on Neural Network Feedback Linearization

被引：0
|
作者：
Han Baohong [1 ]
Tao Chenli [1 ]
Ni Xinhua [1 ]
Zhang Shuqin [1 ]
Cheng Zhaogang [1 ]
机构：
[1] Ordnance Engn Coll, Shijiazhuang 050003, Hebei, Peoples R China
来源：
ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6 | 2009年
关键词：
Chaotic Lorenz System; Neural Network; Feedback Linearization; Chaotic Control; PACC; 0545;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The chaotic motion control of Lorenz system is studied by using neural network feedback linearization method. First, the neural network model of the chaotic Lorenz system is established by system identification. Then the feedback linearization control is applied to the chaotic motion by the controller using the system model to control the unsteady periodic track in the chaotic attractor to the fixed point. Simulation results show that the method is effective in the chaotic motion control.
引用
收藏
页码：2647 / 2651
页数：5
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