Nonparametric Time-Domain Identification of Linear Slowly Time-Variant Systems Using B-Splines

被引：10
|
作者：
Csurcsia, Peter Zoltan [1 ,2 ]
Schoukens, Johan [1 ]
Kollar, Istvan [2 ]
Lataire, John [1 ]
机构：
[1] Vrije Univ Brussel, Dept Fundamental Elect & Instrumentat, B-1050 Brussels, Belgium
[2] Budapest Univ Technol & Econ, Dept Measurement & Informat Syst, H-1111 Budapest, Hungary
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2015年 / 64卷 / 01期
关键词：
B-spline; impulse response function; order reduction; smoothing; system identification; time-variant system; VARYING SYSTEMS; STABILITY; ALGORITHM; DYNAMICS;
D O I：
10.1109/TIM.2014.2338671
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a nonparametric time-domain estimation method for linear slowly time-varying systems. The proposed method uses a 2-D impulse response function. That is modeled by a generalized B-spline smoothing technique. This means that double smoothing is applied: once over the different realizations (referring to the system behavior) and once over the global time (referring to the system memory). With respect to the system dynamics using the proposed method, it is possible to reduce the model order and to decrease the effect of the disturbing noise.
引用
收藏
页码：252 / 262
页数：11
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