Artículos relacionados a Modeling and Control of Batch Processes: Theory and...
Modeling and Control of Batch Processes: Theory and Applications (Advances in Industrial Control) - Tapa dura
Sinopsis
Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the book proposes:
- a novel batch control design with well characterized feasibility properties;
- a modeling approach that unites multi-model and partial least squares techniques;
- a generalization of the subspace identification approach for batch processes; and applications to several detailed case studies, ranging from a complex simulation test bed to industrial data.
The book's proposed methodology employs statistical tools, such as partial least squares and subspace identification, and couples them with notions from state-space-based models to provide solutions to the quality control problem for batch processes. Practical implementation issues are discussed to help readers understand the application of the methods in greater depth. The book includes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes.
Modeling and Control of Batch Processes includes many detailed examples of industrial relevance that can be tailored by process control engineers or researchers to a specific application. The book is also of interest to graduate students studying control systems, as it contains new research topics and references to significant recent work.
Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Prashant Mhaskar received the B. Tech degree in Chemical Engineering from the Indian Institute of Technology, Bombay in May 1999, the MS degree in Chemical Engineering from Louisiana State University in May, 2001 and the Ph. D. degree in Chemical Engineering from the University of California, Los Angeles in 2005. He joined the Department of Chemical Engineering at McMaster University in 2005 as an Assistant Professor, where he is currently Professor. His research interests include nonlinear model predictive control and fault tolerant control, control of hybrid systems and batch process modeling and control. Research results from Dr. Mhaskar have resulted in over 73 refereed articles in leading scientific journals and a book on ``Fault-Tolerant Process Control: Methods and Applications,'' (Springer-Verlag, London, England, 2013.) Prashant Mhaskar is a recipient of the UCLA Dissertation Year Fellowship for the academic year 2004-2005, several Best Presentation in Session Awards at the American Control Conferences, Outstanding Ph.D. in Chemical Engineering Award, had two papers selected for the Computing and Systems Technology Division Plenary Session at the AIChE meetings in 2004 and 2012, and currently holds the Canada Research Chair in Nonlinear and Fault-Tolerant Control (2016-2021). He has organized several invited sessions at the American Control Conference, co-edited a special issue of Journal of Process Control on Energy Efficient Buildings and a special issue of Computers and Chemical Engineering on Control of Complex and Networked process systems, and is currently an Associate Editor for IEEE Transactions on Control Systems Technology and Automatica.
Abhinav Garg received the B. Tech degree in Electronics and Instrumentation Engineering from Uttar Pradesh Technical University in June 2011, the Masters of Science by Research degree in Chemical Engineering from Indian Institute of Technology Madras in December, 2013 and Ph.D in Chemical Engineering from McMaster University in August 2018. His research interests include system identification, time-frequency analysis, causality analysis and process monitoring, control and optimization. His research has resulted in several peer-reviewed journal and conference articles.
Brandon Corbett received the B. Eng degree in Chemical Engineering from McMaster University in June 2011 and the Ph.D. degree in Chemical Engineering from McMaster University in September 2016. In 2017, he completed an industrial postdoctoral fellowship with Professor John F. MacGregor. Dr. Corbett's research interests focus on data-driven modeling. He has publications in data-driven dynamic modeling, particularly for batch processes, and data-driven modeling of product development data.
De la contraportada
Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the book proposes:
- a novel batch control design with well characterized feasibility properties;
- a modeling approach that unites multi-model and partial least squares techniques;
- a generalization of the subspace identification approach for batch processes; and applications to several detailed case studies, ranging from a complex simulation test bed to industrial data.
The book’s proposed methodology employs statistical tools, such as partial least squares and subspace identification, and couples them with notions from state-space-based models to provide solutions to the quality control problem for batch processes. Practical implementation issues are discussed to help readers understand the application of the methods in greater depth. The book includes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes.
Modeling and Control of Batch Processes includes many detailed examples of industrial relevance that can be tailored by process control engineers or researchers to a specific application. The book is also of interest to graduate students studying control systems, as it contains new research topics and references to significant recent work.
Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 16,00
EUR 30,00 gastos de envío desde Alemania a Estados Unidos de America
Destinos, gastos y plazos de envíoComprar nuevo
Ver este artículo
EUR 156,74
EUR 7,65 gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoResultados de la búsqueda para Modeling and Control of Batch Processes: Theory and...
Imagen de archivo
Modeling and Control of Batch Processes. Theory and Applications.
Publicado por
Cham, Springer., 2019
ISBN 10: 3030041395
ISBN 13: 9783030041397
Antiguo o usado
Tapa dura
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
Calificación del vendedor: 5 de 5 estrellas
xxvi, 335 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Nº de ref. del artículo: 8282EB
Gastos de envío:
EUR 30,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen de archivo
Modeling and Control of Batch Processes: Theory and Applications (Advances in Industrial Control)
Librería: Best Price, Torrance, CA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. SUPER FAST SHIPPING. Nº de ref. del artículo: 9783030041397
Cantidad disponible: 2 disponibles
Imagen de archivo
Modeling and Control of Batch Processes: Theory and Applications (Advances in Industrial Control)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020003359
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Modeling and Control of Batch Processes: Theory and Applications (Advances in Industrial Control)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783030041397_new
Gastos de envío:
EUR 13,73
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Modeling and Control of Batch Processes
Publicado por
Springer International Publishing, 2018
ISBN 10: 3030041395
ISBN 13: 9783030041397
Nuevo
Tapa dura
Librería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents state-of-the-art methods for the modeling and control of batch and batch-like processesIncludes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes. Nº de ref. del artículo: 256091055
Gastos de envío:
EUR 48,99
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Modeling and Control of Batch Processes
Publicado por
Springer International Publishing Dez 2018, 2018
ISBN 10: 3030041395
ISBN 13: 9783030041397
Nuevo
Tapa dura
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modeling and Control of Batch Processespresents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the book proposes:a novel batch control design with well characterized feasibility properties;a modeling approach that unites multi-model and partial least squares techniques;a generalization of the subspace identification approach for batch processes; and applications to several detailed case studies, ranging from a complex simulation test bed to industrial data. The book's proposed methodology employs statistical tools, such as partial least squares and subspace identification, and couples them with notions from state-space-based models to provide solutions to the quality control problem for batch processes. Practical implementation issues are discussed to help readers understand the application of the methods in greater depth. The book includes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes.Modeling and Control of Batch Processesincludes many detailed examples of industrial relevance that can be tailored by process control engineers or researchers to a specific application. The book is also of interest to graduate students studying control systems, as it contains new research topics and references to significant recent work.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. 364 pp. Englisch. Nº de ref. del artículo: 9783030041397
Gastos de envío:
EUR 23,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 2 disponibles
Imagen de archivo
Modeling and Control of Batch Processes: Theory and Applications (Advances in Industrial Control)
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9783030041397
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Modeling and Control of Batch Processes : Theory and Applications
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Nº de ref. del artículo: 26376482515
Cantidad disponible: 4 disponibles
Imagen del vendedor
Modeling and Control of Batch Processes
Publicado por
Springer International Publishing, Springer International Publishing Dez 2018, 2018
ISBN 10: 3030041395
ISBN 13: 9783030041397
Nuevo
Tapa dura
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the book proposes:a novel batch control design with well characterized feasibility properties;a modeling approach that unites multi-model and partial least squares techniques;a generalization of the subspace identification approach for batch processes; and applications to several detailed case studies, ranging from a complex simulation test bed to industrial data.The book¿s proposed methodology employs statistical tools, such as partial least squares and subspace identification, and couples them with notions from state-space-based models to provide solutions to the quality control problem for batch processes. Practical implementation issues are discussed to help readers understand the application of the methods in greater depth. The book includes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes.Modeling and Control of Batch Processes includes many detailed examples of industrial relevance that can be tailored by process control engineers or researchers to a specific application. The book is also of interest to graduate students studying control systems, as it contains new research topics and references to significant recent work.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 364 pp. Englisch. Nº de ref. del artículo: 9783030041397
Gastos de envío:
EUR 60,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen del vendedor
Modeling and Control of Batch Processes : Theory and Applications
Publicado por
Springer International Publishing, 2018
ISBN 10: 3030041395
ISBN 13: 9783030041397
Nuevo
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Modeling and Control of Batch Processespresents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the book proposes:a novel batch control design with well characterized feasibility properties;a modeling approach that unites multi-model and partial least squares techniques;a generalization of the subspace identification approach for batch processes; and applications to several detailed case studies, ranging from a complex simulation test bed to industrial data. The book's proposed methodology employs statistical tools, such as partial least squares and subspace identification, and couples them with notions from state-space-based models to provide solutions to the quality control problem for batch processes. Practical implementation issues are discussed to help readers understand the application of the methods in greater depth. The book includes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes.Modeling and Control of Batch Processesincludes many detailed examples of industrial relevance that can be tailored by process control engineers or researchers to a specific application. The book is also of interest to graduate students studying control systems, as it contains new research topics and references to significant recent work.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. Nº de ref. del artículo: 9783030041397
Gastos de envío:
EUR 63,56
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles