Improved Kalman Filtering Algorithm Based Multi-Sensor Integration for Silicon Single Crystal Growth Process-Reference-Cited by-同舟云学术

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Improved Kalman Filtering Algorithm Based Multi-Sensor Integration for Silicon Single Crystal Growth Process

Published:2024-05-07 Issue: Volume:5 Page:1-6
ISSN:
Container-title:2024 7th International Symposium on Autonomous Systems (ISAS)
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Author:

Xie Ruidong¹,Zhu Pei²,Ma Wenle²,Zhang Zheqi²,Yi Yingmin²,Guo Zheng¹

Affiliation:

1. Xi’an University of Technology,Key Lab of Manufacturing Equipment of Shaanxi Province,Xi’an,China,710048

2. Xi’an University of Technology,Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing,Xi’an,China,710048

Funder

Natural Science Foundation of Shaanxi Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10552442/10552389/10552466.pdf?arnumber=10552466

Reference25 articles.

1. An Integrated Navigation and Positioning Method of Adaptive Kalman Filtering;Yu;Journal of Navigation and Positioning of China,2017

2. Research on Improved CPF Algorithm for Integrated Train Positioning;Wang;Computer Science of China,2017

3. Application of optimized metabolic GM (1,1) model in deformation monitoring of foundation pits;Jiang;Water Conservancy and Hydropower Express of China,2017

4. Non-equidistant GM (1,1) Model and Its Optimization Based on Equidistant;He;Mathematics in Practice and Theory of China,2017

5. Interacting Multiple Model Algorithm Based on Improved Current Statistical Models;Zhang;Control Engineering of China,2017

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