Identification of a nonlinear errors-in-variables model

被引：0

作者：

Vajk, I ^{[1
]}

Hetthéssy, J

机构：

[1] Budapest Univ Technol & Econ, Dept Automat & Appl Informat, H-1521 Budapest, Hungary

[2] HAS BUTE Control Res Grp, H-1521 Budapest, Hungary

来源：

CONTROL APPLICATIONS OF OPTIMISATION 2003 | 2003年

关键词：

system identification; nonlinear systems; errors-in-variables estimation; approximation methods; load forecasting;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper a nonlinear MISO model is built up as a combination of a pre-specified dynamical term and an unknown static nonlinear component, where the nonlinear subsystem is realized by a region-wise base point driven interpolation. A model using noisy observations (errors-in-variables) is considered. The paper presents the identification algorithm of this model and shows the application of the elaborated method for load forecasting. Copyright (C) 2003 IFAC.

引用

页码：21 / 26

页数：6

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