Dynamic synergistic modelling for cobalt removal process in zinc hydrometallurgy and the research of parameter estimation based on unscented Kalman filter-Reference-Cited by-同舟云学术

Dynamic synergistic modelling for cobalt removal process in zinc hydrometallurgy and the research of parameter estimation based on unscented Kalman filter

Published:2023-01-09 Issue:6 Volume:101 Page:3462-3478
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can J Chem Eng

Author:

Wang Qianqian¹^ORCID,An Aimin¹²³,Tang Minan⁴,Lu Jiawei¹,Sun Bei⁵

Affiliation:

1. College of Electrical Engineering and Information Engineering Lanzhou University of Technology Lanzhou China

2. Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of Technology Lanzhou China

3. National Demonstration Centre for Experimental Electrical and Control Engineering Education Lanzhou University of Technology Lanzhou China

4. College of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou China

5. College of Automation Central South University Changsha China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.24762

Reference31 articles.

1. Determination of trace ions of cobalt and copper by UV–vis spectrometry in purification process of zinc hydrometallurgy

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1. Distributed nonlinear model predictive control for cobalt removal process in zinc hydrometallurgy considering error compensation modelling;The Canadian Journal of Chemical Engineering;2023-06-28