Auxiliary Variable-Based Identification Algorithms for Uncertain-Input Models
Volume: 39, Issue: 7, Pages: 3389 - 3404
Published: Dec 7, 2019
Abstract
This study presents two auxiliary variable-based identification algorithms for uncertain-input models. The auxiliary variable-based least squares algorithm can obtain unbiased parameter estimates by introducing suitable auxiliary variable vectors. Furthermore, an auxiliary variable-based recursive least squares algorithm is proposed to reduce the computational efforts. To validate the framework and algorithms developed, it has conducted a series...
Paper Details
Title
Auxiliary Variable-Based Identification Algorithms for Uncertain-Input Models
Published Date
Dec 7, 2019
Volume
39
Issue
7
Pages
3389 - 3404
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