Economic-Oriented Stochastic Optimization in Advanced Process Control of Chemical Processes
Joint Authors
Dobos, László
Király, András
Abonyi, János
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
Finding the optimal operating region of chemical processes is an inevitable step toward improving economic performance.
Usually the optimal operating region is situated close to process constraints related to product quality or process safety requirements.
Higher profit can be realized only by assuring a relatively low frequency of violation of these constraints.
A multilevel stochastic optimization framework is proposed to determine the optimal setpoint values of control loops with respect to predetermined risk levels, uncertainties, and costs of violation of process constraints.
The proposed framework is realized as direct search-type optimization of Monte-Carlo simulation of the controlled process.
The concept is illustrated throughout by a well-known benchmark problem related to the control of a linear dynamical system and the model predictive control of a more complex nonlinear polymerization process.
American Psychological Association (APA)
Dobos, László& Király, András& Abonyi, János. 2012. Economic-Oriented Stochastic Optimization in Advanced Process Control of Chemical Processes. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-499137
Modern Language Association (MLA)
Dobos, László…[et al.]. Economic-Oriented Stochastic Optimization in Advanced Process Control of Chemical Processes. The Scientific World Journal No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-499137
American Medical Association (AMA)
Dobos, László& Király, András& Abonyi, János. Economic-Oriented Stochastic Optimization in Advanced Process Control of Chemical Processes. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-499137
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499137