Time varying parameter estimation with decomposition system

被引：0

作者：

An, A ^{[1
]}

Huang, JQ ^{[1
]}

Shimada, Y ^{[1
]}

Ming, Q ^{[1
]}

Youxin, Y ^{[1
]}

机构：

[1] Beijing Univ Aeronaut & Astronaut, Beijing, Peoples R China

来源：

ICIASF'01: 19TH INTERNATIONAL CONGRESS ON INSTRUMENTATION IN AEROSPACE SIMULATION FACILITIES, RECORD | 2001年

关键词：

system identification; time varying parameter estimation; system decomposition;

D O I：

10.1109/ICIASF.2001.960271

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

This paper presents an algorithm for on line parameter estimation with decomposition Multi-Input-Multi-Output linearized time varying system. The test data is in process and measurement noise. Generally speaking, the former online parameter estimation method for MIMO system need either normalize the system math model or a lot of calculation for inverse matrix in estimating processing. It is not only takes much of operational time, but also easily diverges when the matrix is irreversible. The method that we present here hierarchically estimates parameters so that can avoid inverse the matrix and follow the time varying parameter step by step. That could raise the calculation precision and ensure the proceeding convergence. Using the simulation flight test data in processing and measurement noise, the method has been examined.

引用

页码：360 / 368

页数：9

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