Nowadays, effective control of reactive distillation process has become one of the major challenges facing Process Systems Engineers because of the complex and multivariable nature of this process. Good control of this process can only be achieved by considering and trying to eliminate the interactions existing among all the variables involved in the process. This can be accomplished by employing Decoupling Control. Also, taking the complexity as well as the nonlinearity of the process into consideration, a versatile model like Neural Network model is preferred for its control. This work has addressed these issues by developing the algorithms required to implement Decoupling Neural Network Model Predictive Control on multivariable and complex reactive distillation process. The algorithms, including Simulink diagrams and MATLAB codes, provided in this work will go a long way in contributing to efficient, realizable and convenient control of a complex process like reactive distillation both in academic researches and in industries.
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Nowadays, effective control of reactive distillation process has become one of the major challenges facing Process Systems Engineers because of the complex and multivariable nature of this process. Good control of this process can only be achieved by considering and trying to eliminate the interactions existing among all the variables involved in the process. This can be accomplished by employing Decoupling Control. Also, taking the complexity as well as the nonlinearity of the process into consideration, a versatile model like Neural Network model is preferred for its control. This work has addressed these issues by developing the algorithms required to implement Decoupling Neural Network Model Predictive Control on multivariable and complex reactive distillation process. The algorithms, including Simulink diagrams and MATLAB codes, provided in this work will go a long way in contributing to efficient, realizable and convenient control of a complex process like reactive distillation both in academic researches and in industries.
Abdulwahab GIWA obtained his BEng Degree with First Class Division from Federal University of Technology, Minna, Nigeria in 2004. He got his PhD Degree in Process Systems Engineering from Ankara University, Turkey in 2012 with a CGPA of 4.00 out of 4.00. He is currently doing his Postdoctoral Research at Middle East Technical University, Turkey.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Giwa AbdulwahabAbdulwahab GIWA obtained his BEng Degree with First Class Division from Federal University of Technology, Minna, Nigeria in 2004. He got his PhD Degree in Process Systems Engineering from Ankara University, Turkey in 2. N° de réf. du vendeur 5150337
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Taschenbuch. Etat : Neu. Decoupling Neural Network Model Predictive Control | Algorithm Development and Application to Reactive Distillation Process | Abdulwahab Giwa | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659350047 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106039070
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays, effective control of reactive distillation process has become one of the major challenges facing Process Systems Engineers because of the complex and multivariable nature of this process. Good control of this process can only be achieved by considering and trying to eliminate the interactions existing among all the variables involved in the process. This can be accomplished by employing Decoupling Control. Also, taking the complexity as well as the nonlinearity of the process into consideration, a versatile model like Neural Network model is preferred for its control. This work has addressed these issues by developing the algorithms required to implement Decoupling Neural Network Model Predictive Control on multivariable and complex reactive distillation process. The algorithms, including Simulink diagrams and MATLAB codes, provided in this work will go a long way in contributing to efficient, realizable and convenient control of a complex process like reactive distillation both in academic researches and in industries. N° de réf. du vendeur 9783659350047
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