Black-box modeling of an industrial combustion engine plant

被引：0

作者：

Korb, R ^{[1
]}

Skorjanz, P ^{[1
]}

Jörgl, HP ^{[1
]}

机构：

[1] Tech Univ Vienna, Inst Machine & Proc Automat, A-1060 Vienna, Austria

来源：

(SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3 | 1998年

关键词：

linear estimation; internal combustion engines; identification; MISO;

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：

The linear black-box modeling of a combustion engine is described. As the plant is unstable and the variance of the disturbing noise in the system output is high, standard LS-identification yields insufficient results. Various other well established identification methods such as extended least squares, least squares with data filtering, least squares with order reduction in the frequency domain, weighting sequence estimation, instrumental variable method and correlation analysis with least squares estimation are discussed for a two input single output system. The applicability of these methods for identification of combustion engines is discussed and model validation plots are presented.

引用

页码：191 / 196

页数：6