Model Predictive Control
Engineering Methods for Economists
Springer Nature Switzerland
ISBN 978-3-031-85256-5
Standardpreis
Bibliografische Daten
eBook. PDF
2025
XII, 224 p. 148 illus., 124 illus. in color..
In englischer Sprache
Umfang: 224 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-031-85256-5
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Dynamic Modeling and Econometrics in Economics and Finance
Produktbeschreibung
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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