Nonlinear model predictive control : theory and algorithms
Nonlinear model predictive control (NMPC) is widely used in the process and chemical industries and increasingly for applications, such as those in the automotive industry, which use higher data sampling rates. Nonlinear Model Predictive Control is a thorough and rigorous introduction to NMPC for di...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| 格式: | Livre numérique |
| 語言: | Anglais |
| 出版: |
London :
Springer London
2011.
Cham : Springer Nature |
| 叢編: | Communications and Control Engineering
|
| 在線閱讀: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 提示: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Nonlinear Model Predictive Control, Texte imprimé, 9781447126492 • Nonlinear Model Predictive Control, Texte imprimé, 9780857295026 • Nonlinear model predictive control, theory and algorithms, Lars Grüne, Jürgen Pannek, London, Springer, 2011, 1 volume (xi-359 pages), Communications and control engineering, 978-0-85729-500-2 |
書本目錄:
- 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
- Numerical Discretization
- Numerical Optimal Control of Nonlinear Systems
- Examples
- Appendix: Brief Introduction to NMPC Software.