| 基于Fibonacci数列的变步长相关分析辨识算法 |
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| 引用本文： | 陈杰,孙德敏,薛美盛.基于Fibonacci数列的变步长相关分析辨识算法[J].合肥工业大学学报(自然科学版),2006,29(5):517-520. |
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| 作者姓名： | 陈杰 孙德敏 薛美盛 |
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| 作者单位： | 1. 安徽建筑工业学院,机电工程系,安徽,合肥,230022
2. 中国科学技术大学,自动化系,安徽,合肥,230026 |
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| 摘 要： | 相关分析辨识算法在工程上是一种常用的参数辨识算法,文章在介绍该算法基本原理的基础上,将Fibonacci数列引入该算法,并在算法中采用基于修正的Fibonacci数列的变步长方法寻优模型参数。仿真结果表明,寻优的收敛速度明显加快。
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| 关 键 词： | 相关分析 参数辨识 Fibonacci数列 变步长 |
| 文章编号： | 1003-5060(2006)05-0517-04 |
| 修稿时间： | 2005年5月13日 |
Varying-step correlation analysis and identification algorithm based on the Fibonacci sequence |
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| CHEN Jie,SUN De-min,XUE Mei-sheng.Varying-step correlation analysis and identification algorithm based on the Fibonacci sequence[J].Journal of Hefei University of Technology(Natural Science),2006,29(5):517-520. |
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| Authors: | CHEN Jie SUN De-min XUE Mei-sheng |
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| Abstract: | The correlation analysis and identification algorithm is used widely in engineering.The basic principle of the algorithm is discussed first.Then the Fibonacci sequence is introduced into the algorithm,and the variable step method based on the modified Fibonacci sequence is used to optimize the model parameters.The result of simulation indicates that the rate of convergence in optimizing is improved. |
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| Keywords: | correlation analysis parameter identification Fibonacci sequence variable step |
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