The robust maximum principle : theory and applications
Both refining and extending previous publications by the authors, the material in this monograph has been class-tested in mathematical institutions throughout the world. Covering some of the key areas of optimal control theory (OCT) a rapidly expanding field that has developed to analyze the optimal...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Boston, MA :
Birkhäuser Boston
2012.
Cham : Springer Nature |
| シリーズ: | Systems & Control: Foundations & Applications
|
| 主題: | |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The Robust Maximum Principle, Texte imprimé, 9780817681517 • The Robust Maximum Principle, Texte imprimé, 9780817681531 |
目次:
- Preface
- Introduction
- I Topics of Classical Optimal Control
- 1 Maximum Principle
- 2 Dynamic Programming
- 3 Linear Quadratic Optimal Control
- 4 Time-Optimization Problem
- II Tent Method
- 5 Tent Method in Finite Dimensional Spaces
- 6 Extrenal Problems in Banach Space
- III Robust Maximum Principle for Deterministic Systems
- 7 Finite Collection of Dynamic Systems
- 8 Multi-Model Bolza and LQ-Problem
- 9 Linear Multi-Model Time-Optimization
- 10 A Measured Space as Uncertainty Set
- 11 Dynamic Programming for Robust Optimization
- 12 Min-Max Sliding Mode Control
- 13 Multimodel Differential Games
- IV Robust Maximum Principle for Stochastic Systems
- 14 Multi-Plant Robust Control
- 15 LQ-Stochastic Multi-Model Control
- 16 A Compact as Uncertainty Set
- References
- Index.