Predictive control of particlesize distribution of crystallization process using deep learning based image analysis-Reference-Cited by-同舟云学术

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Predictive control of particlesize distribution of crystallization process using deep learning based image analysis

Published:2022-07-07 Issue:11 Volume:68 Page:
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE Journal

Author:

Wang Liangyong¹^ORCID,Zhu Yaolong¹,Gan Chenyang¹

Affiliation:

1. State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17817

Reference42 articles.

1. Control of systems described by population balance equations—I. Controllability analysis

2. Predictive control of particle size distribution in particulate processes

3. Control of particle size distribution described by a population balance model of semibatch emulsion polymerization

4. Advances and New Directions in Crystallization Control

5. Crystal size distribution dynamics in a classified crystallizer: Part II. Simulated control of crystal size distribution

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4. Modeling and Predictive Control of Cooling Crystallization of Potassium Sulfate by Dynamic Image Analysis: Exploring Phenomenological and Machine Learning Approaches;Industrial & Engineering Chemistry Research;2023-06-09

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