The robust maximum principle : theory and applications
Covering key areas of optimal control theory, this book uses new methods to set out a version of OCT's more refined 'maximum principle' aimed at solving the problem of constructing optimal control strategies for uncertain systems with some unknown parameters
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York :
Birkhauser Boston ,
2012
|
| Series: | Systems & control: foundations & applications
|
| Subjects: |
Table of Contents:
- 1. Introduction
- 2. The maximum principle
- 3. Dynamic programming
- 4. Linear quadratic optimal control
- 5. Time-optimization problem
- 6. The tent Method in finite dimensional spaces
- 7. Extrenal problems in banach space
- 8. Finite collection of dynamic systems
- 9. Multimodel bolza and LQ-problem
- 10. Linear Multi-model time-optimization
- 11. A measured space as uncertainty set
- 12. Dynamic programming for Robust Optimization
- 13. Min-Max sliding mode control
- 14. Multimodel differential games
- 15. Multi-plant robust control
- 16. LQ-Stochastic Multi-model control
- 17. Compact as uncertainty set