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Building inferential prediction models of batch processes using subspace identification

  • Published:2003-08 Issue:5 Volume:13 Page:397-406
  • ISSN:0959-1524
  • Container-title:Journal of Process Control
  • language:en
  • Short-container-title:Journal of Process Control

Author:

Dorsey Andrew W.,Lee Jay H.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference9 articles.

1. N. Amit. Optimal Control of Multirate Digital Control Systems, PhD Thesis, Stanford University, 1980.

2. A. K. Datta. Advanced Model Based Control of Pulp Digesters. PhD Thesis, Auburn University, 1996.

3. Partial least squares PLS based monitoring and control of batch digesters;Kesavan;Journal of Process Control,2000

4. Nonlinear inferential control of pulp digester;Lee;AIChE Journal,1994

5. Monitoring of batch processes using multi-way principal component analysis;Nomikos;AIChE Journal,1994

Cited by 23 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. Subspace based model identification for missing data;AIChE Journal;2020-08-04

2. Prior-knowledge-based subspace identification for batch processes;Journal of Process Control;2019-10

3. Hybrid Modeling Approach Integrating First-Principles Models with Subspace Identification;Industrial & Engineering Chemistry Research;2019-05-28

4. Subspace Identification for Data-Driven Modeling and Quality Control of Batch Processes;Modeling and Control of Batch Processes;2018-11-29

5. Introduction;Modeling and Control of Batch Processes;2018-11-29
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