Daniilidis, A., Grüne, L., Haunschmied, J. L., & Tragler, G. (Eds.). (2025). Model Predictive Control : Engineering Methods for Economists (Vol. 31). Springer. https://doi.org/10.1007/978-3-031-85256-5
Daniilidis, Aris Grüne, Lars Haunschmied, Josef Leopold Tragler, Gernot
-
Organisational Unit:
E105-04 - Forschungsbereich Variationsrechnung, Dynamische Systeme und Operations Research
-
Series:
Dynamic Modeling and Econometrics in Economics and Finance
-
ISBN:
978-3-031-85255-8 978-3-031-85256-5
-
Volume:
31
-
Date (published):
2025
-
Number of Pages:
224
-
Publisher:
Springer
-
Keywords:
Economic Dynamics; Control systems; Dynamical models; Stochastic methods in Control; Stabilization and Optimal Control; Model predictive control; Control and Systems Theory; Nonlinear Systems; Markov Decision Problems
en
Abstract:
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.
