<div class="csl-bib-body">
<div class="csl-entry">Daniilidis, A., Grüne, L., Haunschmied, J. L., & Tragler, G. (Eds.). (2025). <i>Model Predictive Control : Engineering Methods for Economists</i> (Vol. 31). Springer. https://doi.org/10.1007/978-3-031-85256-5</div>
</div>
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dc.identifier.isbn
978-3-031-85255-8
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dc.identifier.isbn
978-3-031-85256-5
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/223532
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dc.description.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.
en
dc.language.iso
en
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dc.publisher
Springer
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dc.relation.ispartofseries
Dynamic Modeling and Econometrics in Economics and Finance
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dc.subject
Economic Dynamics
en
dc.subject
Control systems
en
dc.subject
Dynamical models
en
dc.subject
Stochastic methods in Control
en
dc.subject
Stabilization and Optimal Control
en
dc.subject
Model predictive control
en
dc.subject
Control and Systems Theory
en
dc.subject
Nonlinear Systems
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dc.subject
Markov Decision Problems
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dc.title
Model Predictive Control : Engineering Methods for Economists
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dc.type
Book
en
dc.type
Buch
de
dc.contributor.editoraffiliation
University of Bayreuth, Germany
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dc.relation.issn
1566-0419
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dc.type.category
Edited Volume
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dc.relation.eissn
2363-8370
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tuw.container.volume
31
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tuw.relation.ispartofseries
Dynamic Modeling and Econometrics in Economics and Finance
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tuw.relation.publisher
Springer International Publishing Switzerland
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tuw.researchTopic.id
A4
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tuw.researchTopic.name
Mathematical Methods in Economics
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E105-04 - Forschungsbereich Variationsrechnung, Dynamische Systeme und Operations Research
