A new proof for the stability of equation-error models

Roberto Lopez-Valcarce; Soura Dasgupta

doi:10.1109/97.763149

Back

A new proof for the stability of equation-error models

Journal article

Peer reviewed

A new proof for the stability of equation-error models

Roberto Lopez-Valcarce and Soura Dasgupta

IEEE signal processing letters, Vol.6(6), pp.148-150

06/1999

DOI: 10.1109/97.763149

View Online

Abstract

Some previous works have shown that under an autoregressive constraint on the input signal, least-squares equation-error methods provide stable models of the estimated transfer function. We present an alternative proof of this fact which allows one to increase the order of the autoregressive input by one, for both the monic and unit-norm approaches.

Polynomials

Computer aided software engineering

Stability

Transfer functions

Cities and towns

Cost function

Modeling

Equations

Details

Title: Subtitle: A new proof for the stability of equation-error models
Creators: Roberto Lopez-Valcarce - Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Soura Dasgupta
Resource Type: Journal article
Publication Details: IEEE signal processing letters, Vol.6(6), pp.148-150
DOI: 10.1109/97.763149
ISSN: 1070-9908
eISSN: 1558-2361
Publisher: IEEE
Language: English
Date published: 06/1999
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083214002771

Metrics

36 Record Views

5 Times Cited - Web of Science