Dynamic data modeling based on Kalman state estimation-Reference-Cited by-同舟云学术

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Dynamic data modeling based on Kalman state estimation

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Power and Renewable Energy (ICPRE)
language:
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Author:

Wang Chengli¹,He Shenglin¹,Zhang Dapeng²,Yang Huaiwang³,Dong Ze¹

Affiliation:

1. North China Electric Power University,Hebei Technology Innovation Center of Simulation & Optimized Control for Power Generation,Baoding,China

2. Datang International Power Generation Co., Ltd,Engineering Construction Department,Baoding,China

3. Datang International Power Generation Co., Ltd,Production and Environmental Protection Department,Baoding,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10353070/10353550/10353584.pdf?arnumber=10353584

Reference14 articles.

1. Relay feedback-based time domain modelling of off-diagonal elements of linear 2-by-2 MIMO systems

2. M aximum likelihood identification method for a multivariable controlled autoregressive moving average system [J];Yanpu;Journal of Shandong University,2015

3. Research and Application of the Reversed Modeling Method and Partial Least-square Regression Modeling for the Complex Thermal System [J];Zhongguang

4. Dynamic system identification and model-based fault diagnosis of an industrial gas turbine prototype

5. Application of an improved subspace identification method in thermal process [J];Xin

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