Parameter Identification of Chaotic System Based on Quantum PSO Algorithm

被引：0
|
作者：
Liu, Ting [1 ]
Pan, Liwu
Meng, Qingwei [1 ]
Li, Yuping [1 ]
机构：
[1] Zhengzhou Normal Univ, Dept Informat Technol, Zhengzhou, Henan, Peoples R China
来源：
PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012) | 2012年
关键词：
Particle Swarm Optimization (PSO); Quantum PSO (QPSO); Parameter Identification; Chaotic System; PARTICLE SWARM OPTIMIZATION;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we employed a new variant of particle swarm optimization (PSO) technique named quantum PSO (QPSO) to search for optimal parameters of chaotic system by minimizing errors between the model's evaluated outputs and the actual ones. The performance of the QPSO is tested via simulation in Matlab. Identification results aptly show that the QPSO algorithm has the advantage of high parameter identification precision and it provides a new way for parameter identification of chaotic system.
引用
收藏
页码：1982 / 1985
页数：4
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