An Improved Variable Memory Length Identification Algorithm

LI Jian; XIE Shou-sheng

Chinese

您当前的位置：

首页 >

文章列表页 >

An Improved Variable Memory Length Identification Algorithm

更新时间：2026-07-07

- An Improved Variable Memory Length Identification Algorithm
- Vol. 17, Issue 4, (2002)
- 作者机构：
  
  空军工程大学工程学院,陕西,西安,710038
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2002
- 稿件说明：
移动端阅览
LI Jian, XIE Shou-sheng. An Improved Variable Memory Length Identification Algorithm[J]. 2002, 17(4).
DOI：

LI Jian, XIE Shou-sheng. An Improved Variable Memory Length Identification Algorithm[J]. 2002, 17(4). DOI：

摘要

本文基于多分辨分析方法

提出了一种改进的变记忆长度的小波变换多分辨分析方法

该方法将辨识的数据分解到不同频段

然后针对各不同频段采用不同的记忆长度进行辨识

通过对某航空涡轮起动机系统辨识的实例

表明该方法可以有效地提高系统辨识的精度。

Abstract

Based on multiresolution analysis method

an improved variable memory length wavelet transform multiresolution analysis method is proposed.The method decomposes data into different frequency segments

then for different frequency segments different memory lengths are used for identification.An aero-turbine starter is taken as a numerical example

and the simulation results show the method is effective to improve identification precision.

关键词

Keywords

references

Views

465

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Establishment of a Certain Aero-Engine Starting Mathematical Model in Plateau Regions

Identification of flexible nozzle torque properties based on wavelet neural network optimized by genetic algorithm

Aero-engine wavelet neural network PID control

Research on key control technology of micro turbine engine in centimeter size

Aeroengine Separate Decoupling Control Based on Recursive Neural Networks

Related Author

LI Ying-hong

LI Jian

WU Li-rong

Shan LIU

Yufeng JIANG

Weiwei JIAO

Guangzai JIN

Hongcheng YANG

Related Institution

The Air force Eighth Research Institute

Laboratory of Aerospace Servo Actuation and Transmission，Beijing Institute of Precision Mechatronics and Controls

College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics

China Aviation Motor Control Institute

The Engineering Institute, Air Force Engineering University

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰