Identification of mathematical model for time-varying delay system based on dual-neural network

被引：0
|
作者：
Pan, F [1 ]
Han, RC [1 ]
Zhi, ZY [1 ]
Liu, HB [1 ]
Zuo, L [1 ]
机构：
[1] Taiyuan Univ Sci & Technol, Elect Coll, Taiyuan 030024, Peoples R China
来源：
ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings | 2005年
关键词：
neural network; time-varying delay system; mathematical model; parameter identification;
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
In the paper, a dual-neural network structure is presented to identify the mathematical model of time-vary delay system. A neuron network is applied to identify the time-varying delay parameter of process, so the delay can be separated from system mathematical model. Another neural network is used to identify other time-varying parameters of system. A precise mathematical model can be obtained by using this dual-neural network identification method, and this is vital for the control of delay system.
引用
收藏
页码：1281 / 1283
页数：3
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