Online learning‐based predictive control of crystallization processes under batch‐to‐batch parametric drift-Reference-Cited by-同舟云学术

Online learning‐based predictive control of crystallization processes under batch‐to‐batch parametric drift

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

Author:

Zheng Yingzhe¹,Zhao Tianyi¹²,Wang Xiaonan¹³^ORCID,Wu Zhe¹^ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering National University of Singapore Singapore Singapore

2. Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University Binhai New City Fuzhou China

3. Department of Chemical Engineering Tsinghua University Beijing China

Funder

National University of Singapore

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17815

Reference34 articles.

1. Continuous Plug Flow Crystallization of Pharmaceutical Compounds

2. An integrated approach for machine‐learning‐based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system;Chee E;Front Chem Sci Eng,2021

3. Recurrent Neural Network-Based Model Predictive Control for Continuous Pharmaceutical Manufacturing

4. Machine learning‐based predictive control of nonlinear processes. Part I: Theory

5. A tutorial on deep learning part 2: autoencoders, convolutional neural networks and recurrent neural networks;Le QV;Google Brain,2015

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