Identification of Time-varying Systems using a Two-dimensional B-spline Algorithm

被引：0

作者：

Csurcsia, Peter Zoltan ^{[1
,2
]}

Schoukens, Johan ^{[3
]}

Kollar, Istvan ^{[4
]}

机构：

[1] Vrije Univ Brussel, Brussels, Belgium

[2] Budapest Univ Technol & Econ, Budapest, Hungary

[3] Vrije Univ Brussel, Dept Fundamental Elect & Instrumentat, Brussels, Belgium

[4] Budapest Univ Technol & Econ, Dept Measurement & Informat Syst, Budapest, Hungary

来源：

2012 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) | 2012年

基金：

匈牙利科学研究基金会;

关键词：

surface fitting; two dimensional impulse response function; time-varying systems; system identification; non-parametric identification; spline fitting; B-spline; double smoothing;

D O I：

暂无

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 new method which non-parametrically estimates a two dimensional impulse response function h(LTV)(t,tau) of slowly time-varying systems. A generalized B-spline technique is used for double smoothing: once over the different excitation times tau (which refers to the system memory) and once over the actual excitation time t (referring to the system behavior). If the change of the parameters of the observed system is sufficiently slow, with respect to the system dynamics, we will be able to 1) reduce the disturbing noise by additional smoothing 2) reduce the number of model parameters that need to be stored.

引用

页码：1056 / 1061

页数：6

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