On-line identification of time-varying delay based on genetic algorithm for large time-delay systems

被引：0
|
作者：
Pan, F [1 ]
Han, RC [1 ]
Feng, DM [1 ]
机构：
[1] Taiyuan Heavy Machinery Inst, Elect Informat Dept, Taiyuan, Peoples R China
来源：
ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3 | 2003年
关键词：
identification; genetic algorithm; time-varying delay;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new approach of on-line identification for time-varying delay system is presented. Based on sampled input-output data, the GA (genetic algorithm) is used to track the time-varying delay, which can simultaneously evaluate many points in the parameter space, and increase the likelihood of finding the global optimum solution, then delay that is applied to predictive mode can been identified more exactly, which can suppress the effect of time-varying delay. Simulation results show that the identification precision is proved using this approach.
引用
收藏
页码：431 / 434
页数：4
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