Use of orthogonal transformations in data classification-reconciliation

被引：50

作者：

Sanchez, M

Romagnoli, J

机构：

[1] UNIV SYDNEY,DEPT CHEM ENGN,ICI LAB PROC SYST ENGN,SYDNEY,NSW 2006,AUSTRALIA

[2] UNIV NACL SUR,CONICET,PLANTO PILOTO INGN QUIM,RA-8000 BAHIA BLANCA,ARGENTINA

来源：

COMPUTERS & CHEMICAL ENGINEERING | 1996年 / 20卷 / 05期

关键词：

PROCESS FLOW-RATES; REDUNDANCY CLASSIFICATION; MATRIX PROJECTION; PROCESS NETWORKS; OBSERVABILITY;

D O I：

10.1016/0098-1354(95)00212-X

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, the use of orthogonal factorizations, more precisely the Q-R decomposition, to analyze, decompose and solve the linear and bilinear data reconciliation problem is further investigated. It is shown that the decomposition provides additional insight in identifying structural singularities in the system topology, allowing the problem to decompose into lower dimension subproblems. Energy balances are explicitly considered. Two examples of application are presented.

引用

页码：483 / 493

页数：11

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