Dynamic Modeling and Nonlinear Predictive Control Based on Partitioned Model and Nonlinear Optimization-Reference-Cited by-同舟云学术

Dynamic Modeling and Nonlinear Predictive Control Based on Partitioned Model and Nonlinear Optimization

Published:2011-06-07 Issue:13 Volume:50 Page:8110-8121
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zhang Ridong¹,Xue Anke¹,Wang Shuqing²

Affiliation:

1. Information and Control Institute, Hangzhou Dianzi University, Hangzhou 310018, People's Republic of China

2. National Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems & Control, Zhejiang University, Hangzhou 310027, People's Republic of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie102211x

Reference51 articles.

1. Nonlinear empirical modeling techniques

2. Combining prior knowledge with data driven modeling of a batch distillation column including start-up

3. A unified modeling framework for the optimal design and dynamic simulation of staged reactive separation processes

4. Data flow modeling for batch and hybrid processes

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