Nonlinear Model Predictive Control Theory and Algorithms /
This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC vari...
| Κύριοι συγγραφείς: | , |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Έκδοση: | 2nd ed. 2017. |
| Σειρά: | Communications and Control Engineering,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Discrete-Time and Sampled-Data Systems
- Nonlinear Model Predictive Control
- Infinite-Horizon Optimal Control
- Stability and Suboptimality Using Stabilizing Constraints
- Stability and Suboptimality Without Stabilizing Constraints
- Feasibility and Robustness
- Economic Nonlinear Model Predictive Control
- Distributed Nonlinear Model Predictive Control
- Variants and Extensions
- Numerical Discretization
- Numerical Optimal Control of Nonlinear Systems
- Appendix: NMPC Software Supporting This Book.