Improvements in Fault Tolerance Characteristics for Large Chemical Plants: 2. Pulp Mill Process with Model Predictive Control-Reference-Cited by-同舟云学术

Improvements in Fault Tolerance Characteristics for Large Chemical Plants: 2. Pulp Mill Process with Model Predictive Control

Published:2008-07-01 Issue:15 Volume:47 Page:5482-5500
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zumoffen David¹,Basualdo Marta¹,Molina Gonzalo¹

Affiliation:

1. Group of Applied Informatic to Process Engineering (GIAIP), French-Argentine Internacional Center of Information Science and Systems (CIFASIS-CONICET-UPCAM III-UNR), BV. 27 de Febrero 210 Bis, S2000EZP Rosario, Argentina

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie800100r

Reference20 articles.

1. Maciejowski, J. M.Predictive Control with Constraints;Prentice Hall:Englewood Cliffs, NJ, 2002.

2. Robust Adaptive Predictive Fault-Tolerant Control Integrated To a Fault-Detection System Applied to a Nonlinear Chemical Process

3. Integrated Fault Detection and Fault-Tolerant Control Architectures for Distributed Processes

4. From data to diagnosis and control using generalized orthonormal basis filters. Part I: Development of state observers

5. From data to diagnosis and control using generalized orthonormal basis filters. Part II: Model predictive and fault tolerant control

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