Model Predictive Control

Edited by Aris Daniilidis (), Lars Grüne (), Josef Haunschmied () and Gernot Tragler ()

in Dynamic Modeling and Econometrics in Economics and Finance from Springer, currently edited by Stefan Mittnik and Willi Semmler

Date: 2025
ISBN: 978-3-031-85256-5
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Chapters in this book:

Ch Chapter 1 Multi-horizon MPC and Its Application to the Integrated Power and Thermal Management of Electrified Vehicles

Qiuhao Hu, Mohammad Reza Amini, Ilya Kolmanovsky and Jing Sun

Ch Chapter 2 Data/Moment-Driven Approaches for Fast Predictive Control of Collective Dynamics

Giacomo Albi, Sara Bicego, Michael Herty, Yuyang Huang, Dante Kalise and Chiara Segala

Ch Chapter 3 Finite-Dimensional Receding Horizon Control of Linear Time-Varying Parabolic PDEs: Stability Analysis and Model-Order Reduction

Behzad Azmi, Jan Rohleff and Stefan Volkwein

Ch Chapter 4 Solving Hybrid Model Predictive Control Problems via a Mixed-Integer Approach

Iman Nodozi and Ricardo G. Sanfelice

Ch Chapter 5 nMPyC A Python Package for Solving Optimal Control Problems via Model Predictive Control

Jonas Schießl and Lisa Krügel

Ch Chapter 6 Controllability of Continuous Networks and a Kernel-Based Learning Approximation

Michael Herty, Chiara Segala and Giuseppe Visconti

Ch Chapter 7 Economic Model Predictive Control as a Solution to Markov Decision Processes

Dirk Reinhardt, Akhil S. Anand, Shambhuraj Sawant and Sébastien Gros

Ch Chapter 8 Reinforcement Learning with Guarantees

Mario Zanon and Sébastien Gros

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DOI: 10.1007/978-3-031-85256-5

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