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商品詳細
Model Predictive Control : Engineering Methods for Economists.
・ISBN 978-3-031-85255-8 hard EUR 179.99
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| 著者・編者 | Daniilidis, Aris / Grüne, Lars et al. (eds.), |
|---|---|
| シリーズ | Dynamic Modeling and Econometrics in Economics and Finance |
| 出版社 | (Springer, GW) |
| 出版年月 | 2025.05 |
| ページ数 | 224 pp. |
| 言語 | ENG |
| ニュース番号 | ＜745-151＞ |
解説
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.