REDUCTION OF LINEAR CONTINUOUS-TIME MULTIVARIABLE SYSTEMS BY MATCHING FIRST-ORDER AND 2ND-ORDER INFORMATION

被引：9

作者：

KRAJEWSKI, W ^{[1
]}

LEPSCHY, A ^{[1
]}

VIARO, U ^{[1
]}

机构：

[1] UNIV PADUA,DEPT ELECTR & INFORMAT,I-35131 PADUA,ITALY

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1994年 / 39卷 / 10期

关键词：

D O I：

10.1109/9.328814

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper considers the approximation of stable continuous-time multivariable linear systems from a finite number of Markov parameters and second-order information indexes. It is shown that, by properly choosing these indexes, it is possible to uniquely identify an input-output model of given order from an equal number of first- and second-order data.

引用

页码：2126 / 2129

页数：4

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