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...
Main Authors: | , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Boston :
Birkhäuser Boston,
2012.
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Series: | Systems & Control: Foundations & Applications
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.