Prediction of outlet pressure for sulfur dioxide blower based on ARX model and adaptive Kalman filter-Reference-Cited by-同舟云学术

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Prediction of outlet pressure for sulfur dioxide blower based on ARX model and adaptive Kalman filter

Published:2022-08-15 Issue: Volume: Page:
ISSN:
Container-title:2022 34th Chinese Control and Decision Conference (CCDC)
language:
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Author:

Xu Chengzhong¹,Li Xiaoli¹,Wang Kang¹,Li Yang²

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology,Beijing,100124

2. Communication University of China(CUC),School of International Studies,Beijing,100024

Funder

Nature

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032843/10032844/10033600.pdf?arnumber=10033600

Reference14 articles.

1. State-Space Model and Kalman Filter Gain Identification by a Kalman Filter of a Kalman Filter

2. Understanding and using time series analyses in addiction research

3. MEMS-Based IMU Drift Minimization: Sage Husa Adaptive Robust Kalman Filtering

4. Research on Intelligent Analysis and Prediction Model of Funds Flow Based on Non-stationary Time Series

5. A new optimization algorithm for non-stationary time series prediction based on recurrent neural networks

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1. Multi‐model predictive control of converter inlet temperature in the process of acid production with flue gas;International Journal of Adaptive Control and Signal Processing;2024-02-27

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