Articles liés à Model Predictive Control: Engineering Methods for Economists
Synopsis
The book explores the field of model predictive control (MPC). It reports on the latest developments in MPC, current applications, and presents various subfields of MPC. The book features topics such as uncertain and stochastic MPC variants, learning and neural network approaches, easy-to-use numerical implementations as well as multi-agent systems and scheduling and coordination tasks. While MPC is rooted in engineering science, this book illustrates the potential of using MPC theory and methods in non-engineering sciences and applications such as economics, finance, and environmental sciences.
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À propos de l?auteur
Aris Daniilidis is a professor of Applied Mathematics specializing in Variational Analysis and Optimization. He held faculty positions at the Autonomous University of Barcelona and the University of Chile before joining TU Wien (Austria) in 2021. Currently, he leads the research group Variational Analysis, Dynamics, and Operations Research (VADOR) and has held various visiting positions in France and Italy.
Lars Grüne is a professor and the chair of Applied Mathematics at the University of Bayreuth (Germany). He joined the university in 2002 after previous positions at the University of Augsburg and Goethe University in Frankfurt/M, Germany. He has held visiting positions in Rome, Italy, Newcastle, and Australia.
Josef Haunschmied is a senior lecturer at TU Wien (Austria) and has actively participated in multiple research projects and served as the principal investigator in four of them. His expertise spans scientific computing, optimal control of ordinary systems, operations research, mathematical programming, and mathematical modeling.
Gernot Tragler is an associate professor of Operations Research at TU Wien (Austria) and focuses on dynamic optimization with applications in energy, environment, finance, health, and socio-economics. He also teaches graduate courses in Nonlinear Programming and various methods in Dynamic Optimization and their practical uses.
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Model Predictive Control (eng)
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Model Predictive Control : Engineering Methods for Economists
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Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10 : 3031852559
ISBN 13 : 9783031852558
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The book explores the field of model predictive control (MPC). It reports on the latest developments in MPC, current applications, and presents various subfields of MPC. The book features topics such as uncertain and stochastic MPC variants, learning and neural network approaches, easy-to-use numerical implementations as well as multi-agent systems and scheduling and coordination tasks. While MPC is rooted in engineering science, this book illustrates the potential of using MPC theory and methods in non-engineering sciences and applications such as economics, finance, and environmental sciences. N° de réf. du vendeur 9783031852558
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Model Predictive Control
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Springer, Berlin, Springer Nature Switzerland, Springer, 2025
ISBN 10 : 3031852559
ISBN 13 : 9783031852558
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book explores the field of model predictive control (MPC). It reports on the latest developments in MPC, current applications, and presents various subfields of MPC. The book features topics such as uncertain and stochastic MPC variants, learning and neural network approaches, easy-to-use numerical implementations as well as multi-agent systems and scheduling and coordination tasks. While MPC is rooted in engineering science, this book illustrates the potential of using MPC theory and methods in non-engineering sciences and applications such as economics, finance, and environmental sciences. 224 pp. Englisch. N° de réf. du vendeur 9783031852558
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Model Predictive Control
ISBN 10 : 3031852559
ISBN 13 : 9783031852558
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Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 236 pp. Englisch. N° de réf. du vendeur 9783031852558
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Model Predictive Control: Engineering Methods for Economists (Dynamic Modeling and Econometrics in Economics and Finance, 31)
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Model Predictive Control
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ISBN 13 : 9783031852558
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Model Predictive Control (Hardcover)
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Springer International Publishing AG, Cham, 2025
ISBN 10 : 3031852559
ISBN 13 : 9783031852558
Neuf
Couverture rigide
Vendeur : CitiRetail, Stevenage, Royaume-Uni
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Hardcover. Etat : new. Hardcover. The book explores the field of model predictive control (MPC). It reports on the latest developments in MPC, current applications, and presents various subfields of MPC. The book features topics such as uncertain and stochastic MPC variants, learning and neural network approaches, easy-to-use numerical implementations as well as multi-agent systems and scheduling and coordination tasks. While MPC is rooted in engineering science, this book illustrates the potential of using MPC theory and methods in non-engineering sciences and applications such as economics, finance, and environmental sciences. The book explores the field of model predictive control (MPC). While MPC is rooted in engineering science, this book illustrates the potential of using MPC theory and methods in non-engineering sciences and applications such as economics, finance, and environmental sciences. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783031852558
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Model Predictive Control (Hardcover)
Edité par
Springer International Publishing AG, Cham, 2025
ISBN 10 : 3031852559
ISBN 13 : 9783031852558
Neuf
Couverture rigide
Vendeur : AussieBookSeller, Truganina, VIC, Australie
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Hardcover. Etat : new. Hardcover. The book explores the field of model predictive control (MPC). It reports on the latest developments in MPC, current applications, and presents various subfields of MPC. The book features topics such as uncertain and stochastic MPC variants, learning and neural network approaches, easy-to-use numerical implementations as well as multi-agent systems and scheduling and coordination tasks. While MPC is rooted in engineering science, this book illustrates the potential of using MPC theory and methods in non-engineering sciences and applications such as economics, finance, and environmental sciences. The book explores the field of model predictive control (MPC). While MPC is rooted in engineering science, this book illustrates the potential of using MPC theory and methods in non-engineering sciences and applications such as economics, finance, and environmental sciences. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783031852558
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Model Predictive Control: Engineering Methods for Economists
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Model Predictive Control: Engineering Methods for Economists
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