IDENTIFICATION OF HIGHLY ACCURATE LOW ORDER STATE SPACE MODELS IN THE FREQUENCY DOMAIN

Jacques RN.; Miller DW.; Liu KT.

首页> 外文期刊>Signal Processing: The Official Publication of the European Association for Signal Processing (EURASIP) >IDENTIFICATION OF HIGHLY ACCURATE LOW ORDER STATE SPACE MODELS IN THE FREQUENCY DOMAIN

【24h】

IDENTIFICATION OF HIGHLY ACCURATE LOW ORDER STATE SPACE MODELS IN THE FREQUENCY DOMAIN

机译：IDENTIFICATION OF HIGHLY ACCURATE LOW ORDER STATE SPACE MODELS IN THE FREQUENCY DOMAIN

获取原文

获取原文并翻译 | 示例

获取外文期刊封面封底 >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

This paper discusses an integrated approach for high accuracy and low order model identification. The approach integrates subspace-based identification algorithms with model reduction and parameter estimation algorithms to generate highly accurate low order models. The specific identification algorithm presented in the paper is the integrated frequency domain observability range space extraction and least square parameter estimation algorithm (IFORSELS). IFORSELS is an iterative algorithm which integrates the frequency domain observability range space extraction (FORSE) algorithm, the balanced realization model reduction algorithm, and the logarithmic and additive least square parameter estimation algorithms in an iterative fashion. It is capable of achieving much higher modeling accuracy using a lower order model than that achieved using a higher order model by subspace-based algorithms, such as FORSE. References: 22

著录项

来源
《Signal Processing: The Official Publication of the European Association for Signal Processing (EURASIP)》 |1996年第2期|195-207|共13页
作者
Jacques RN.; Miller DW.; Liu KT.;
展开▼
作者单位

HUGHES SPACE & COMMUN CO LOC EO BLDG EO1 MS D112 POB 92919 LOS ANGELES CA 90089 USA;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类通信;
关键词
System identification; Frequency domain methods; State-space modeling; Subspace methods; Reduction;

IDENTIFICATION OF HIGHLY ACCURATE LOW ORDER STATE SPACE MODELS IN THE FREQUENCY DOMAIN

摘要

著录项

相关主题

期刊订阅