Dynamic modeling and optimal control of goethite process based on the rate-controlling step-Reference-Cited by-同舟云学术

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Dynamic modeling and optimal control of goethite process based on the rate-controlling step

Published:2017-01 Issue: Volume:58 Page:54-65
ISSN:0967-0661
Container-title:Control Engineering Practice
language:en
Short-container-title:Control Engineering Practice

Author:

Xie Yong-fang,Xie Shi-wen,Li Yong-gang,Yang Chun-hua,Gui Wei-hua

Funder

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

National Natural Science Foundation of China

Central South University

Fundamental Research Funds for the Central Universities of Central South University

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference31 articles.

1. Optimal control of an industrial-scale evaporation process: sodium aluminate solution;Chai;Control Engineering Practice,2012

2. Hybrid intelligent control for optimal operation of shaft furnace roasting process;Chai;Control Engineering Practice,2011

3. Removal of iron from acidic leach liquor of lateritic nickel ore by goethite precipitate;Chang;Hydrometallurgy,2010

4. Supervisory expert control for ball mill grinding circuits;Chen;Expert Systems with Applications,2008

5. Iron precipitation from zinc-rich solutions: Defining the Zincor Process;Claassen;Hydrometallurgy,2002

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3. 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

4. Hybrid Model of Mass-Concentration Conservation and Neural Network for Zinc Leaching;JOM;2023-03-13

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