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In den WarenkorbZustand: New.
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In den WarenkorbPaperback. Zustand: New. 2nd ed. 2004. From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes. The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. "Model Predictive Control" demonstrates that a powerful technique does not always require complex control algorithms. The text features material on the following subjects: general MPC elements and algorithms; commercial MPC schemes; generalized predictive control multivariable, robust, constrained nonlinear and hybrid MPC; fast methods for MPC implementation; applications.All of the material is thoroughlyupdated for the second edition with the chapters on nonlinear MPC, MPC andhybrid systems and MPC implementation being entirely new. Many new exercisesand examples have also have also been added throughout and MATLAB® programsto aid in their solution can be downloaded from extras.springer.com.The text is an excellent aid for graduate and advanced undergraduate studentsand will also be of use to researchers and industrial practitioners wishing tokeep abreast of a fast-moving field.
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In den WarenkorbZustand: New. pp. xvii + 280.
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In den WarenkorbZustand: New. Provides an approach to control that is more pragmatic than the complex schemes common in academic research while maintaining the power necessary for a robust approach to a wide variety of processes and systemsNew exercises and examples give the s.
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In den WarenkorbTaschenbuch. Zustand: Neu. Model Predictive Control | Carlos Bordons Alba (u. a.) | Taschenbuch | xxii | Englisch | 2004 | Springer | EAN 9781852336943 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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In den WarenkorbTaschenbuch. Zustand: Neu. Model Predictive Control | Carlos Bordons Alba | Taschenbuch | Englisch | 1999 | Springer | EAN 9783540762416 | Verantwortliche Person für die EU: Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.
Verlag: Springer London, Springer London Jun 2004, 2004
ISBN 10: 1852336943 ISBN 13: 9781852336943
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 428 pp. Englisch.
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In recent years Model Predictive Control (MPC) schemes have established themselves as the preferred control strategy for a large number of processes. Their ability to handle constraints and multivariable processes and their intuitive way of posing the pro cess control problem in the time domain are two reasons for their popularity. This volume by authors of international repute provides an extensive review concerning the theoretical and practical aspects of predictive controllers. It describes the most commonly used MPC strategies, especially Generalised Predictive Control (GPC), showing both their theoretical properties and their practical implementation issues. Topics such as multivariable MPC, constraint handling, stability and robustness properties are thoroughly analysed in this text.
Verlag: Springer, Springer London, 2004
ISBN 10: 1852336943 ISBN 13: 9781852336943
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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In den WarenkorbZustand: New. pp. 262.
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In den WarenkorbPaperback. Zustand: Like New. Like New. book.
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In den WarenkorbPaperback. Zustand: Brand New. 257 pages. 9.06x6.06x0.71 inches. In Stock.
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In den WarenkorbTaschenbuch. Zustand: Neu. Model Predictive Control in the Process Industry | Carlos A. Bordons (u. a.) | Taschenbuch | xviii | Englisch | 2011 | Springer London | EAN 9781447130109 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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In den WarenkorbPaperback. Zustand: Like New. Like New. book.
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In den WarenkorbPaperback. Zustand: New. 2nd ed. 2004. From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes. The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. "Model Predictive Control" demonstrates that a powerful technique does not always require complex control algorithms. The text features material on the following subjects: general MPC elements and algorithms; commercial MPC schemes; generalized predictive control multivariable, robust, constrained nonlinear and hybrid MPC; fast methods for MPC implementation; applications.All of the material is thoroughlyupdated for the second edition with the chapters on nonlinear MPC, MPC andhybrid systems and MPC implementation being entirely new. Many new exercisesand examples have also have also been added throughout and MATLAB® programsto aid in their solution can be downloaded from extras.springer.com.The text is an excellent aid for graduate and advanced undergraduate studentsand will also be of use to researchers and industrial practitioners wishing tokeep abreast of a fast-moving field.
Verlag: Springer London, Springer London, 2011
ISBN 10: 1447130103 ISBN 13: 9781447130109
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.
Verlag: Springer International Publishing, 2019
ISBN 10: 3030245691 ISBN 13: 9783030245696
Sprache: Englisch
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In den WarenkorbZustand: New.
Verlag: Springer Nature Switzerland AG, Cham, 2019
ISBN 10: 3030245691 ISBN 13: 9783030245696
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids.The authors present MPC techniques for case studies that include different renewable sources mainly photovoltaic and wind as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids.Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management.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. The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbZustand: New. pp. XIX, 266 102 illus., 65 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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In den WarenkorbZustand: New. pp. XIX, 266 102 illus., 65 illus. in color. With online files/update. 1 Edition NO-PA16APR2015-KAP.
Verlag: Springer International Publishing, Springer International Publishing Sep 2020, 2020
ISBN 10: 3030245721 ISBN 13: 9783030245726
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 160,49
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch.
Verlag: Springer International Publishing, 2020
ISBN 10: 3030245721 ISBN 13: 9783030245726
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 160,49
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids.The authors present MPC techniques for case studies that include different renewable sources - mainly photovoltaic and wind - as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids.Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management.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.