A Multi-innovation Recursive Least Squares Algorithm with a Forgetting Factor for Hammerstein CAR Systems with Backlash

被引：0
|
作者：
Zhenwei Shi
Yan Wang
Zhicheng Ji
机构：
[1] Jiangnan University,School of Internet of Things Engineering
[2] Wuxi Electrical and Higher Vocational School,undefined
来源：
Circuits, Systems, and Signal Processing | 2016年 / 35卷
关键词：
Hammerstein nonlinear system; Backlash; Multi-innovation; Forgetting factor; Parameter estimation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study addresses the identification of Hammerstein CAR systems with backlash, where the nonlinear backlash is described as one regression identification model using a two switching function mathematical model. In such a case, the Hammerstein CAR systems with backlash can be transformed into a piecewise linearized model. Then, a novel multi-innovation recursive least squares algorithm with a forgetting factor is applied to estimate the parameters of the proposed model. Finally, numerical examples are presented to test the performance of the proposed algorithm.
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收藏
页码：4271 / 4289
页数：18
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