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应用科学学报 ›› 2001, Vol. 19 ›› Issue (4): 299-302.

• 论文 • 上一篇    下一篇

浮点数编码的遗传算法在系统辨识中的应用

沈春华, 卢晶, 徐柏龄   

  1. 南京大学声学研究所近代声学国家重点实验室, 江苏南京 210093
  • 收稿日期:2000-06-03 修回日期:2001-03-22 出版日期:2001-12-31 发布日期:2001-12-31
  • 作者简介:沈春华(1977-),男,江苏吴江人,硕士生;徐柏龄(1941-),男,江苏南通人,教授,博导.
  • 基金资助:
    国家自然科学基金资助项目(69872014)

The Application of Float-encoding Genetic Algorithm to System Identification

SHEN Chun-hua, LU Jing, XU Bo-ling   

  1. State Key Laboratory of Modern Acoustics, Institute of Acoustics, Nanjing University, Nanjing 210093, China
  • Received:2000-06-03 Revised:2001-03-22 Online:2001-12-31 Published:2001-12-31

PDF

140

被引次数

37

摘要： 采用基于浮点数编码(十进制编码)的遗传算法,融合和改进了一些遗传操作,提出了一种系统辨识的方法并应用到在噪声背景下ARMA模型系统的辨识.仿真表明,该方法能有效地克服有色噪音的干扰,从而获得系统参数的无偏估计,在开口箱扬声器系统的低频参数测量中的应用也表明了该方法的有效性.

关键词: 浮点数编码, 系统辨识, ARMA模型, 遗传算法

Abstract: In this paper, a new approach to identify ARMA model under noisy background is real-ized by using float-encoding genetic algorithms. With the aid of this method, unbiased parameters estimates of the system can be obtained when the output is corrupted by noise unrelated with the input signals. The effectiveness of the approach is testified by several simulations and the results show that it is more effective than least-square method. And it has been successfully applied in the measurement of the low-frequency characteristic parameters of a vented-box loudspeaker system.

Key words: system identification, ARMA model, float-encoding, genetic algorithm

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