Multivariable Control Structure Design Based on Mixed-Integer Quadratic Programming-Reference-Cited by-同舟云学术

Multivariable Control Structure Design Based on Mixed-Integer Quadratic Programming

Published:2017-09-26 Issue:39 Volume:56 Page:11228-11244
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Braccia Lautaro¹,Marchetti Pablo A.²,Luppi Patricio¹³,Zumoffen David¹⁴^ORCID

Affiliation:

1. Grupo de Ingeniería de Sistemas de Procesos (GISP), Centro Franco-Argentino de Ciencias de la Información y de Sistemas (CIFASIS), CONICET-UNR, 27 de Febrero 210 bis, Rosario, S2000EZP, Argentina

2. Instituto de Desarrollo Tecnológico para la Industria Química (INTEC), UNL-CONICET, Güemes 3450, Santa Fe, 3000, Argentina

3. Universidad Nacional de Rosario, Rosario, S2000CGK, Argentina

4. Universidad Tecnológica Nacional-FRRo, Rosario, 2000, Argentina

Funder

Universidad Nacional de Rosario

Consejo Nacional de Investigaciones Cient?ficas y T?cnicas

Agencia Nacional de Promoci?n Cient?fica y Tecnol?gica

Facultad Regional Rosario, Universidad Tecnol?gica Nacional

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.7b02270

Reference29 articles.

1. An industrial and academic perspective on plantwide control

2. Process systems engineering: From Solvay to modern bio- and nanotechnology.

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4. Implications of large RGA-elements on control performance

5. Effect of Manipulated Variables Selection on the Controllability of Chemical Processes

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