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非线性系统的结构选择及其参数的集员辨识

和丽清 孙先仿 邱红专

和丽清, 孙先仿, 邱红专等 . 非线性系统的结构选择及其参数的集员辨识[J]. 北京航空航天大学学报, 2010, 36(10): 1189-1193.
引用本文: 和丽清, 孙先仿, 邱红专等 . 非线性系统的结构选择及其参数的集员辨识[J]. 北京航空航天大学学报, 2010, 36(10): 1189-1193.
He Liqing, Sun Xianfang, Qiu Hongzhuanet al. Structure selection and parameter set-membership identification for nonlinear systems[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(10): 1189-1193. (in Chinese)
Citation: He Liqing, Sun Xianfang, Qiu Hongzhuanet al. Structure selection and parameter set-membership identification for nonlinear systems[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(10): 1189-1193. (in Chinese)

非线性系统的结构选择及其参数的集员辨识

基金项目: 国家自然科学基金资助项目(60674030)
详细信息
    作者简介:

    和丽清(1979-),女,山西大同人,博士生,Heliqing@asee.buaa.edu.cn.

  • 中图分类号: TP 13

Structure selection and parameter set-membership identification for nonlinear systems

  • 摘要: 基于支持向量回归和RBF(Radial Basis Function)神经网络,研究了带有未知但有界噪声的非线性系统的集员辨识问题.推导了噪声界以及支持向量个数与ε-不敏感参数之间的关系,给出了利用噪声界选择ε-不敏感参数的方法.描述了通过支持向量回归选择RBF神经网络规模的方法.该方法以Gaussian核函数作为径向基函数,支持向量作为径向基函数的中心构建RBF神经网络.运用改进的OBE(Optimal Bounding Ellipsoid)算法对RBF神经网络的权值进行辨识,得到与给定输入输出数据和噪声界序列一致的一类RBF神经网络.仿真算例验证了算法的有效性.

     

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出版历程
  • 收稿日期:  2009-08-31
  • 网络出版日期:  2010-10-31

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