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ISBN 10: 3031875958 ISBN 13: 9783031875953
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Añadir al carritoHardcover. Condición: new. Hardcover. Model Predictive Control (MPC), the classic textbook for students and practitioners seeking deep understanding of advanced control systems, is now revised, updated and reorganized in a streamlined third edition. The authors, renowned researchers in the field, cover an extensive range of topics that embraces the basic and the advanced, the theoretical and the applied.The book offers advanced undergraduate and graduate students an accessible, step-by-step approach that enables them progressively to grasp and apply the concepts they are studying. For instructors, this is an invaluable curriculum resource packed with examples and case studies. The text features material on:commercial MPC: convolution models, transfer functions, state-space models, and constraints;advanced topics: robust and stochastic MPC and MPC for nonlinear, hybrid, large-scale, and distributed systems; andapplications: a series of case studies in solar energy generation, hospital stock control, a pilot microgrid and copper processing; along withexercises to help readers assess their progress, many with full or partial solutions in a solutions manual downloadable by adopting instructors.MATLAB programs to assist with the design aspects of the book and with reproducing some of the examples are available for readers to download.Model Predictive Control (third edition)s distinctive strength is its real-world relevance. It is an essential tool for future engineers; its focus on practical implementation, bridging the gap between academic theory and industrial practice and supplemented by exploration of optimization- and algorithm-related aspects of MPC, ensures a holistic treatment of the subject. commercial MPC: convolution models, transfer functions, state-space models, and constraints; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoHardcover. Condición: new. Hardcover. Model Predictive Control (MPC), the classic textbook for students and practitioners seeking deep understanding of advanced control systems, is now revised, updated and reorganized in a streamlined third edition. The authors, renowned researchers in the field, cover an extensive range of topics that embraces the basic and the advanced, the theoretical and the applied.The book offers advanced undergraduate and graduate students an accessible, step-by-step approach that enables them progressively to grasp and apply the concepts they are studying. For instructors, this is an invaluable curriculum resource packed with examples and case studies. The text features material on:commercial MPC: convolution models, transfer functions, state-space models, and constraints;advanced topics: robust and stochastic MPC and MPC for nonlinear, hybrid, large-scale, and distributed systems; andapplications: a series of case studies in solar energy generation, hospital stock control, a pilot microgrid and copper processing; along withexercises to help readers assess their progress, many with full or partial solutions in a solutions manual downloadable by adopting instructors.MATLAB programs to assist with the design aspects of the book and with reproducing some of the examples are available for readers to download.Model Predictive Control (third edition)s distinctive strength is its real-world relevance. It is an essential tool for future engineers; its focus on practical implementation, bridging the gap between academic theory and industrial practice and supplemented by exploration of optimization- and algorithm-related aspects of MPC, ensures a holistic treatment of the subject. commercial MPC: convolution models, transfer functions, state-space models, and constraints; Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Model Predictive Control (MPC), the classic textbook for students and practitioners seeking deep understanding of advanced control systems, is now revised, updated and reorganized in a streamlined third edition. The authors, renowned researchers in the field, cover an extensive range of topics that embraces the basic and the advanced, the theoretical and the applied.The book offers advanced undergraduate and graduate students an accessible, step-by-step approach that enables them progressively to grasp and apply the concepts they are studying. For instructors, this is an invaluable curriculum resource packed with examples and case studies. The text features material on:commercial MPC: convolution models, transfer functions, state-space models, and constraints;advanced topics: robust and stochastic MPC and MPC for nonlinear, hybrid, large-scale, and distributed systems; andapplications: a series of case studies in solar energy generation, hospital stock control, a pilot microgrid and copper processing; along withexercises to help readers assess their progress, many with full or partial solutions in a solutions manual downloadable by adopting instructors.MATLAB® programs to assist with the design aspects of the book and with reproducing some of the.
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Añadir al carritoBuch. Condición: Neu. Model Predictive Control | Eduardo F. Camacho (u. a.) | Buch | xx | Englisch | 2026 | Springer | EAN 9783031875953 | 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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ISBN 10: 3031875958 ISBN 13: 9783031875953
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Añadir al carritoHardcover. Condición: new. Hardcover. Model Predictive Control (MPC), the classic textbook for students and practitioners seeking deep understanding of advanced control systems, is now revised, updated and reorganized in a streamlined third edition. The authors, renowned researchers in the field, cover an extensive range of topics that embraces the basic and the advanced, the theoretical and the applied.The book offers advanced undergraduate and graduate students an accessible, step-by-step approach that enables them progressively to grasp and apply the concepts they are studying. For instructors, this is an invaluable curriculum resource packed with examples and case studies. The text features material on:commercial MPC: convolution models, transfer functions, state-space models, and constraints;advanced topics: robust and stochastic MPC and MPC for nonlinear, hybrid, large-scale, and distributed systems; andapplications: a series of case studies in solar energy generation, hospital stock control, a pilot microgrid and copper processing; along withexercises to help readers assess their progress, many with full or partial solutions in a solutions manual downloadable by adopting instructors.MATLAB programs to assist with the design aspects of the book and with reproducing some of the examples are available for readers to download.Model Predictive Control (third edition)s distinctive strength is its real-world relevance. It is an essential tool for future engineers; its focus on practical implementation, bridging the gap between academic theory and industrial practice and supplemented by exploration of optimization- and algorithm-related aspects of MPC, ensures a holistic treatment of the subject. commercial MPC: convolution models, transfer functions, state-space models, and constraints; Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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ISBN 10: 3031875958 ISBN 13: 9783031875953
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Publicado por Springer, Berlin, Springer, 2026
ISBN 10: 3031875958 ISBN 13: 9783031875953
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Model Predictive Control (MPC), the classic textbook for students and practitioners seeking deep understanding of advanced control systems, is now revised, updated and reorganized in a streamlined third edition. The authors, renowned researchers in the field, cover an extensive range of topics that embraces the basic and the advanced, the theoretical and the applied.The book offers advanced undergraduate and graduate students an accessible, step-by-step approach that enables them progressively to grasp and apply the concepts they are studying. For instructors, this is an invaluable curriculum resource packed with examples and case studies. The text features material on:commercial MPC: convolution models, transfer functions, state-space models, and constraints;advanced topics: robust and stochastic MPC and MPC for nonlinear, hybrid, large-scale, and distributed systems; andapplications: a series of case studies in solar energy generation, hospital stock control, a pilot microgrid and copper processing; along withexercises to help readers assess their progress, many with full or partial solutions in a solutions manual downloadable by adopting instructors.MATLAB® programs to assist with the design aspects of the book and with reproducing some of the 380 pp. Englisch.
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Publicado por Springer, Springer International Publishing Jan 2026, 2026
ISBN 10: 3031875958 ISBN 13: 9783031875953
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Model Predictive Control (MPC), the classic textbook for students and practitioners seeking deep understanding of advanced control systems, is now revised, updated and reorganized in a streamlined third edition. The authors, renowned researchers in the field, cover an extensive range of topics that embraces the basic and the advanced, the theoretical and the applied.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.