Model Equivalence-Based Identification Algorithm for Equation-Error Systems with Colored Noise

Model Equivalence-Based Identification Algorithm for Equation-Error Systems with Colored Noise

For equation-error autoregressive (EEAR) systems, this paper proposes an identification algorithm by means of the model equivalence transformation. The basic idea is to eliminate the autoregressive term in the model using the model transformation, to estimate the parameters of the converted system a...

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Bibliographic Details
Main Authors: Dandan Meng, Feng Ding
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Algorithms
Subjects:
least squares
comparative coefficient
model equivalence
equation-error system
Online Access:http://www.mdpi.com/1999-4893/8/2/280

Internet

http://www.mdpi.com/1999-4893/8/2/280

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