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

被引：0

作者：

Aissaoui, Borhen ^{[1
]}

Soltani, Moez ^{[1
]}

Chaari, Abdelkader ^{[2
]}

机构：

[1] LISIER, Tunis, Tunisia

[2] Univ Tunis, Natl Higher Engn Sch Tunis ENSIT, 5 Ave Taha Husein,BP 56, Tunis 1008, Tunisia

来源：

2017 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND DIAGNOSIS (ICCAD) | 2017年

关键词：

identification; iterative; recursive; subspace method; Hammerstein model; SH nonlinearity; SYSTEMS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：355 / 360

页数：6

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