Data-Based, Fault-Tolerant Model Predictive Control of a Complex Industrial Dearomatization Process-Reference-Cited by-同舟云学术

Data-Based, Fault-Tolerant Model Predictive Control of a Complex Industrial Dearomatization Process

Published:2011-04-25 Issue:11 Volume:50 Page:6755-6768
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Kettunen Markus¹,Jämsä-Jounela Sirkka-Liisa¹

Affiliation:

1. Department of Biotechnology and Chemical Technology, Laboratory of Process Control and Automation, Aalto University School of Chemical Technology, POB 16100, FI-00076 Aalto, Finland

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie102312g

Reference26 articles.

1. A review of process fault detection and diagnosis

2. Bibliographical review on reconfigurable fault-tolerant control systems

3. Min-max control of constrained uncertain discrete-time linear systems

4. On input-to-state stability of min–max nonlinear model predictive control

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