Simple Nonlinear Predictive Control Strategy for Chemical Processes Using Sparse Kernel Learning with Polynomial Form-Reference-Cited by-同舟云学术

Simple Nonlinear Predictive Control Strategy for Chemical Processes Using Sparse Kernel Learning with Polynomial Form

Published:2010-07-21 Issue:17 Volume:49 Page:8209-8218
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Liu Yi¹,Gao Yanchen¹,Gao Zengliang¹,Wang Haiqing¹,Li Ping¹

Affiliation:

1. State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, P. R. China, Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou 310032, P. R. China, and Qingdao Mesnac Co., Ltd., Qingdao 266045, P. R. 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/ie901548u

Reference29 articles.

1. An alternative structure for next generation regulatory controllers

2. An alternative structure for next generation regulatory controllers. Part II: Stability analysis, tuning rules and experimental validation

3. Model predictive control—Building a bridge between theory and practice

4. A survey of industrial model predictive control technology

5. Accounts of Experiences in the Application of Artificial Neural Networks in Chemical Engineering

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