非线性ARX系统阶次辨识的局部信息准则

2013 9th Asian Control Conference (ASCC) Pub Date : 2013-06-23 DOI:10.1109/ASCC.2013.6606337

Wenxiao Zhao, Han-Fu Chen, E. Bai, Kang Li

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引用次数: 0

摘要

本文研究了具有外生输入的非参数非线性自回归系统(NARX)的局部阶估计，该系统在不同的兴趣点可能具有不同的局部维数。通过最小化文中引入的基于核的局部信息准则，得到了NARX系统在任意兴趣点处的局部阶数的强一致估计。通过仿真算例对理论结果进行了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A local information criterion for order identification of nonlinear ARX systems

We consider the local order estimation of non-parametric nonlinear autoregressive systems with exogenous inputs (NARX), which may have different local dimensions at different points of interest. By minimizing the kernel-based local information criterion introduced in the paper, the strongly consistent estimates for the local orders of the NARX system at of interest points are obtained. The theoretical result derived here is tested by a simulation example.

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2013 9th Asian Control Conference (ASCC)

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