A continuous-time Hammerstein approach working with statistical experimental design

被引：0
|
作者：
Rollins, DK [1 ]
机构：
[1] Iowa State Univ Sci & Technol, Dept Chem Engn & Stat, Ames, IA 50011 USA
来源：
DYNAMIC MODEL DEVELOPMENT: METHODS, THEORY AND APPLICATIONS | 2003年 / 16卷
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D O I：
暂无
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
Hammerstein modelling is a basic approach to dynamic predictive modelling of non-linear behaviour. The development of the continuous-time Hammerstein approach by Rollins, et al. (2002) provides a natural compatibility with statistical design of experiments (SDOE) and thus, allows for optimal experimentation and the efficient treatment of all non-linear and interactive effects. This approach is demonstrated on a theoretical Hammerstein model from literature and a real house-hold dryer with four inputs and five outputs.
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页码：159 / 173
页数：15
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