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Springer Model Predictive Control: Engineering Methods for Economists (Dynamic Modeling and Econometrics in Economics and Finance, 31)

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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
08 June 2026
Listed Since
20 June 2026

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