Bias Compensation of Recursive Least Squares Estimate in Closed Loop Environment

SICE Journal of Control Measurement and System Integration ◽

10.9746/jcmsi.1.400 ◽

2008 ◽

Vol 1 (5) ◽

pp. 400-405 ◽

Author(s):

Kenji IKEDA ◽

Yoshio MOGAMI ◽

Takao SHIMOMURA

Keyword(s):

Least Squares ◽

Closed Loop ◽

Recursive Least Squares ◽

Least Squares Estimate ◽

Bias Compensation

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Bias compensation based recursive least-squares identification algorithm for MISO systems

IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing ◽

10.1109/tcsii.2005.862281 ◽

2006 ◽

Vol 53 (5) ◽

pp. 349-353 ◽

Author(s):

Feng Ding ◽

Tongwen Chen ◽

Li Qiu

Keyword(s):

Least Squares ◽

Recursive Least Squares ◽

Identification Algorithm ◽

Bias Compensation

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Identification of Hammerstein-Wiener Models Based on Bias Compensation Recursive Least Squares

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2010.00163 ◽

2010 ◽

Vol 36 (1) ◽

pp. 163-168 ◽

Author(s):

Yan LI ◽

Zhi-Zhong MAO ◽

Yan WANG ◽

Ping YUAN ◽

Ming-Xing JIA

Keyword(s):

Least Squares ◽

Recursive Least Squares ◽

Wiener Models ◽

Bias Compensation

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Bias compensation based partially coupled recursive least squares identification algorithm with forgetting factors for MIMO systems: Application to PMSMs

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2016.05.021 ◽

2016 ◽

Vol 353 (13) ◽

pp. 3057-3077 ◽

Author(s):

Zhenwei Shi ◽

Yan Wang ◽

Zhicheng Ji

Keyword(s):

Least Squares ◽

Mimo Systems ◽

Recursive Least Squares ◽

Identification Algorithm ◽

Bias Compensation

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Bias compensation based recursive least squares identification for equation error models with colored noises

Proceedings of the 33rd Chinese Control Conference ◽

10.1109/chicc.2014.6896104 ◽

2014 ◽

Author(s):

Ai-Guo Wu ◽

Fan Yang ◽

Yang-Yang Qian

Keyword(s):

Least Squares ◽

Recursive Least Squares ◽

Error Models ◽

Equation Error ◽

Bias Compensation

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A Modified Extended Recursive Least-Squares Method for Closed-Loop Identification of FIR Models

Industrial & Engineering Chemistry Research ◽

10.1021/ie800922w ◽

2009 ◽

Vol 48 (13) ◽

pp. 6327-6338 ◽

Author(s):

Christopher L. Betts ◽

Srinivas Karra ◽

M. Nazmul Karim ◽

James B. Riggs

Keyword(s):

Least Squares ◽

Closed Loop ◽

Least Squares Method ◽

Recursive Least Squares ◽

Closed Loop Identification ◽

Recursive Least Squares Method

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Recursive least-squares parameter estimation in SISO systems via Poisson moment functionals Part 2. Closed-loop systems

International Journal of Systems Science ◽

10.1080/00207729008910446 ◽

1990 ◽

Vol 21 (7) ◽

pp. 1217-1237 ◽

Author(s):

DINES CHANDRA SAHA ◽

R. V. SUBRAMANYAN

Keyword(s):

Parameter Estimation ◽

Least Squares ◽

Closed Loop ◽

Recursive Least Squares ◽

Closed Loop Systems ◽

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Enhanced online model identification and state of charge estimation for lithium-ion battery under noise corrupted measurements by bias compensation recursive least squares

Journal of Power Sources ◽

10.1016/j.jpowsour.2020.227984 ◽

2020 ◽

Vol 456 ◽

pp. 227984 ◽

Author(s):

Yigang Li ◽

Jiqing Chen ◽

Fengchong Lan

Keyword(s):

Least Squares ◽

Lithium Ion Battery ◽

Model Identification ◽

Lithium Ion ◽

State Of Charge ◽

Recursive Least Squares ◽

State Of Charge Estimation ◽

Bias Compensation

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Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2016.11.028 ◽

2017 ◽

Vol 354 (3) ◽

pp. 1340-1355 ◽

Author(s):

Bi Zhang ◽

Zhizhong Mao

Keyword(s):

Nonlinear Systems ◽

Least Squares ◽

Recursive Least Squares ◽

Identification Method ◽

Compensation Principle ◽

Bias Compensation

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Recursive least squares identification of hybrid Box–Jenkins model structure in open-loop and closed-loop

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2015.10.022 ◽

2016 ◽

Vol 353 (2) ◽

pp. 265-278 ◽

Author(s):

Zhu Wang ◽

Qibing Jin ◽

Xiaoping Liu

Keyword(s):

Least Squares ◽

Closed Loop ◽

Open Loop ◽

Recursive Least Squares ◽

Model Structure

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Bias compensation based recursive least-squares identification algorithm for MISO system with input and output noises

2017 11th Asian Control Conference (ASCC) ◽

10.1109/ascc.2017.8287275 ◽

2017 ◽

Author(s):

Ai-Guo Wu ◽

Wen-Nian Qi ◽

Rui-Qi Dong

Keyword(s):

Least Squares ◽

Recursive Least Squares ◽

Identification Algorithm ◽

Input And Output ◽

Bias Compensation

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