Model Predictive Control Engineering Methods for Economists /
| Tác giả của công ty: | |
|---|---|
| Tác giả khác: | , , , |
| Tóm tắt: | XII, 224 p. 148 illus., 124 illus. in color. text |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Phiên bản: | 1st ed. 2025. |
| Loạt: | Dynamic Modeling and Econometrics in Economics and Finance,
31 |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/978-3-031-85256-5 |
| Định dạng: | Điện tử Sách |
Mục lục:
- Chapter 1. Multi-horizon MPC and Its Application to theIntegrated Power and Thermal Management ofElectrified Vehicles (Qiuhao Hu)
- Chapter 2. Data/Moment-Driven Approaches for FastPredictive Control of Collective Dynamics (Giacomo Albi)
- Chapter 3. Finite-Dimensional Receding Horizon Control ofLinear Time-Varying Parabolic PDEs: StabilityAnalysis and Model-Order Reduction (Behzad Azmi)
- Chapter 4. Solving Hybrid Model Predictive ControlProblems via a Mixed-Integer Approach (Iman Nodozi)
- Chapter 5. nMPyC – A Python Package for Solving OptimalControl Problems via Model Predictive Control (Jonas Schießl)
- Chapter 6. Controllability of Continuous Networks and aKernel-Based Learning Approximation (Michael Herty)
- Chapter 7. Economic Model Predictive Control as aSolution to Markov Decision Processes (Dirk Reinhardt)
- Chapter 8. Reinforcement Learning with Guarantees (Mario Zanon).