Machine-learning-based state estimation and predictive control of nonlinear processes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Machine-learning-based state estimation and predictive control of nonlinear processes

Published:2021-03 Issue: Volume:167 Page:268-280
ISSN:0263-8762
Container-title:Chemical Engineering Research and Design
language:en
Short-container-title:Chemical Engineering Research and Design

Author:

Alhajeri Mohammed S.,Wu Zhe,Rincon David,Albalawi Fahad,Christofides Panagiotis D.

Funder

U.S. Department of Energy

National Science Foundation

Taif University

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference36 articles.

1. Challenges and opportunities on nonlinear state estimation of chemical and biochemical processes;Alexander;Processes,2020

2. Tuning guidelines for model-predictive control;Alhajeri;Ind. Eng. Chem. Res.,2020

3. Review and classification of recent observers applied in chemical process systems;Ali;Comput. Chem. Eng.,2015

4. Deep hybrid modeling of chemical process: application to hydraulic fracturing;Bangi;Comput. Chem. Eng.,2020

5. Machine learning-based distributed model predictive control of nonlinear processes;Chen;AIChE J.,2020

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nonlinear discrete-time observers with Physics-Informed Neural Networks;Chaos, Solitons & Fractals;2024-09

2. Quantum neural networks based Lyapunov stability and adaptive learning rates for identification of nonlinear systems;Ain Shams Engineering Journal;2024-08

3. Learning-Based Model Reduction and Predictive Control of an Ammonia Synthesis Process;Industrial & Engineering Chemistry Research;2024-06-03

4. Nonlinear model-based predictive control of a yeast fermentation bioreactor using new bee colony-WNN modelling structure;Journal of Engineering Research;2024-06

5. Model predictive control of nonlinear processes using transfer learning-based recurrent neural networks;Chemical Engineering Research and Design;2024-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3