一种基于小生境遗传算法的迟滞非线性系统参数识别方法
CSTR:
作者:
基金项目:

教育部留学回国人员科研基金资助项目


A parameter identification method based on a niche genetic algorthm for hysteretic nonlinear system
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • | |
  • 文章评论
    摘要:

    工程中存在大量的具有迟滞非线性恢复力的结构与构件,但迟滞非线性系统既是非线性的,又是非解析的,造成其参数识别十分困难,阻碍了迟滞非线性模型在工程中的应用.本文提出了一种基于小生境遗传算法的迟滞非线性系统参数识别方法,该方法在遗传算法中引入了新的参数-个体活动半径.利用本算法对一木结构剪力墙的BW模型参数进行识别,识别结果误差较小,验证了算法的有效性.

    Abstract:

    Hysteresis is a phenomenon common to a broad spectrum of physical systems.However,due to its non-linearity and non-analysis,the parameter identification of hysteretic nonlinear system is very difficult,which damages it's offectireness in engineering.This paper proposed a new parameter identification method based on miche genetic algorithm,which employed a new parameter named Radius,and a wood shear wall described by the BW model was simulated using this method.The simulation results were compared with the real values,and it showed a great promise of the present algorithm in engineering.

    参考文献
    相似文献
    引证文献
引用本文

曾威,于德介.一种基于小生境遗传算法的迟滞非线性系统参数识别方法[J].动力学与控制学报,2004,2(1):82~86; Zeng Wei, Yu Dejie. A parameter identification method based on a niche genetic algorthm for hysteretic nonlinear system[J]. Journal of Dynamics and Control,2004,2(1):82-86.

复制
分享
文章指标
  • 点击次数:248
  • 下载次数: 740
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 收稿日期:2003-11-14
  • 最后修改日期:2004-02-08
文章二维码

微信公众号二维码

手机版网站二维码