Parsimonious characterisation and identification of time-varying nonlinear systems

被引：0
|
作者：
Ralston, JC
Zoubir, AM
机构：
来源：
ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2 | 1996年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We consider the problem of time-varying nonlinear system identification when only a single observation of the input and output signals is available. In order to provide a tractable solution, the temporal and dynamic variation of the time-varying Hammerstein series is parameterised using basis sequences. This leads to a time-invariant formulation which is subsequently solved using the method of least-squares. The approach represents a practical way to characterise time-varying nonlinear phenomena in a parsimonious manner and is demonstrated with real data.
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页码：877 / 880
页数：4
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