5.0

5.0 | 2 ratings Rate this file 210 downloads (last 30 days) File Size: 2.93 KB File ID: #19728

Multivariable Subspace Identification: MOESP

by Yi Cao

 

27 Apr 2008 (Updated 04 Nov 2009)

Code covered by BSD License  

A tool for subspace identification using the MOESP algorithm.

Download Now | Watch this File

File Information
Description

This is a small but powerful tool for multivariable subspace identification. It implements the so called Multivariable Output Error State Space algorithm.

The identification is carried out in two steps by using the nested function technique. The main function returns a score vector for the subspace obtained from the input and output data. From the score vector, users can easily determine an appropriate order for the model to be identified. Then, by calling the function handle, also returned by the main function, with the determined order, the state space matrices are obtained.

An example is included to show how to use this tool.

Acknowledgements

The author wishes to acknowledge the following in the creation of this submission:
Subspace Identification for Linear Systems
This submission has inspired the following:
Stochastic Subspace Realization

MATLAB release MATLAB 7.6 (R2008a)
Zip File Content  
Other Files license.txt,
moesp.m
Tags for This File  
Everyone's Tags
Tags I've Applied
Add New Tags Please login to tag files.
Comments and Ratings (1)
27 May 2009 Erdal Bizkevelci  
Please login to add a comment or rating.
Updates
04 Nov 2009

corrected two errors in the example.

Tag Activity for this File
Tag Applied By Date/Time
system identification Yi Cao 22 Oct 2008 09:59:15
state space identification Yi Cao 22 Oct 2008 09:59:15
subspace identifica Yi Cao 22 Oct 2008 09:59:15
 

MATLAB Central Terms of Use

NOTICE: Any content you submit to MATLAB Central, including personal information, is not subject to the protections which may be afforded information collected under other sections of The MathWorks, Inc. Web site. You are entirely responsible for all content that you upload, post, e-mail, transmit or otherwise make available via MATLAB Central. The MathWorks does not control the content posted by visitors to MATLAB Central and, does not guarantee the accuracy, integrity, or quality of such content. Under no circumstances will The MathWorks be liable in any way for any content not authored by The MathWorks, or any loss or damage of any kind incurred as a result of the use of any content posted, e-mailed, transmitted or otherwise made available via MATLAB Central. Read the complete Terms prior to use.

Contact us at files@mathworks.com