Hierarchical recursive least squares algorithm for Hammerstein systems using the filtering method

Hierarchical recursive least squares algorithm for Hammerstein systems using the filtering method
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使用过滤方法的 Hammerstein 系统的分层递归最小二乘算法

DOI:
10.1007/s11071-014-1416-z
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发表时间:
2014-05
期刊:
影响因子:
5.6
通讯作者:
Ji Zhicheng
Ji Zhicheng
中科院分区:
工程技术2区
文献类型:
--
作者:
Wang Ziyun;Wang Yan;Ji Zhicheng

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将滤波方法与最小二乘搜索原理相结合,提出了一种用于Hammerstein非线性系统参数估计的递阶递推最小二乘算法。其关键是采用分层思想将Hammerstein系统分解为两个子系统。数值例子说明了所提出的算法的性能。
A hierarchical recursive least squares algorithm is presented in the paper to estimate the parameters of Hammerstein nonlinear systems by combining the filtering method and least squares search principle. The key is to decompose the Hammerstein system into two subsystems by adopting the hierarchical idea. Numerical examples are given to illustrate the performance of the proposed algorithm.
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