一类基于输出非线性量测的变量带误差系统的辨识

doi:10.12341/jssms11906

系统科学与数学 ›› 2012, Vol. 32 ›› Issue (6): 780-790.DOI: 10.12341/jssms11906

一类基于输出非线性量测的变量带误差系统的辨识

宋其江，吴武清

中国人民大学信息学院数学系, 北京,100872; 中国人民大学商学院会计系, 北京,100872

出版日期:2012-06-25 发布日期:2012-08-22

PDF ( 658 ) 引用被引次数 ( 2 )

宋其江，吴武清. 一类基于输出非线性量测的变量带误差系统的辨识[J]. 系统科学与数学, 2012, 32(6): 780-790.

SONG Qijiang, WU Wuqing. IDENTIFICATION FOR A CLASS OF ERRORS-IN-VARIABLES SYSTEMS WITH NONLINEAR OUTPUT MEASUREMENTS[J]. Journal of Systems Science and Mathematical Sciences, 2012, 32(6): 780-790.

IDENTIFICATION FOR A CLASS OF ERRORS-IN-VARIABLES SYSTEMS WITH NONLINEAR OUTPUT MEASUREMENTS

SONG Qijiang, WU Wuqing

Department of Mathematics, School of Information, Remin University of China, Beijing 100872;Department of Accounting, School of Business, Renmin University of China, Beijing 100872

Online:2012-06-25 Published:2012-08-22

研究一类基于输出非线性量测的变量带误差系统的辨识. 通过对输出量测的截断, 在适当的系统假设下, 应用扩张截断随机逼近算法给出了系统参数的递推估计, 并证明了估计的强一致. 辨识算法适用于多种常见的非线性量测. 最后给出了一个仿真例子, 仿真结果与理论一致.

This paper is concerned with the identification for a kind of errors-in-variables systems with nonlinear output measurements. With the measured outputs being truncated, recursive estimates for the system parameters are derived by the stochastic approximation algorithm under reasonable conditions. And the strong consistency for the estimates is estab- lished. The proposed algorithms are applicable for lots of common nonlinear observations. A simulation example shows the effectiveness of the theoretical analysis.

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93E12

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