含SH非线性Hammerstein模型辨识的迭代和递归子空间算法

2017 International Conference on Control, Automation and Diagnosis (ICCAD) Pub Date : 1900-01-01 DOI:10.1109/CADIAG.2017.8075684

B. Aissaoui, M. Soltani, A. Chaari

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引用次数: 1

摘要

本文提出了一种利用迭代和递归子空间方法估计线性和非线性块参数的新方法。更重要的是，为了证明该方法的有效性，数值算例证实了该方法具有良好的条件和计算效率。

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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Iterative and recursive subspace algorithms for identification of Hammerstein model with SH nonlinearity

This paper proposes a new method to estimate the parameters of both blocks, linear and nonlinear using an iterative and recursive subspace approaches. More importantly, in an attempt to show the extent to which this method is efficient, the numerical example confirms a good conditioning and computational efficiency.

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来源期刊

2017 International Conference on Control, Automation and Diagnosis (ICCAD)

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