Weighted-coupling CSTR modeling and model predictive control with parameter adaptive correction for the goethite process-Reference-Cited by-同舟云学术

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Weighted-coupling CSTR modeling and model predictive control with parameter adaptive correction for the goethite process

Published:2018-08 Issue: Volume:68 Page:254-267
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Xie Shiwen,Xie Yongfang^ORCID,Gui Weihua,Yang Chunhua

Funder

National Science Foundation for Distinguished Young Scholars of China

National Natural Science Foundation of China

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

China Scholarship Council

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference26 articles.

1. Importance of roasted sulphide concentrates characterization in the hydrometallurgical extraction of zinc;Balarini;Miner. Eng.,2008

2. Thermodynamics and chemical systems stability: the CSTR case study revisited;Favache;J. Process Control,2009

3. Dynamic modelling of glucose oxidation with palladium catalyst deactivation in multifunctional CSTR: Benefits of periodic operation;Gogova;Chem. Eng. J.,2009

4. Nonlinear adaptive control using the Fourier integral and its application to CSTR systems;Zhang;IEEE Trans. Syst. Man Cybern. Part B-Cybern.,2002

5. Towards efficient and inherently safer continuous reactor alternatives to batch-wise processing of fine chemicals: CSTR nonlinear dynamics analysis of alkylpyridines N-oxidation;Cui;Chem. Eng. Sci.,2015

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4. Coordinated optimization on energy capture and torque fluctuation of wind turbines via variable weight NMPC with fuzzy regulator;Applied Energy;2022-04

5. Parameter optimal identification and dynamic behavior analysis of nonlinear model for the solution purification process of zinc hydrometallurgy;Journal of Industrial & Management Optimization;2022

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