CDS 110b: Optimal Control: Difference between revisions
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== References and Further Reading == | == References and Further Reading == | ||
* [http://www.cds.caltech.edu/~macmardg/cds110b/pontryagin.pdf Notes on Pontryagin's Maximum Principle] (courtesy of Doug MacMynowski) - this comes from a book on dynamic programming (DP) and | * [http://www.cds.caltech.edu/~macmardg/cds110b/pontryagin.pdf Notes on Pontryagin's Maximum Principle] (courtesy of Doug MacMynowski) - this comes from a book on dynamic programming (DP) and uses a slightly different notation than we used in class. | ||
== Frequently Asked Questions == | == Frequently Asked Questions == | ||
Revision as of 20:42, 2 January 2006
See current course homepage to find most recent page available. |
| Course Home | L7-2: Sensitivity | L8-1: Robust Stability | L9-1: Robust Perf | Schedule |
This lecture provides an overview of optimal control theory. Beginning with a review of optimization, we introduce the notion of Lagrange multipliers and provide a summary of the Pontryagin's maximum principle.
Lecture Outline
- Introduction: two degree of freedom design and trajectory generation
- Review of optimization: necessary conditions for extrema, with and without constraints
- Optimal control: Pontryagin Maximum Principle
- Examples: bang-bang control and Caltech ducted fan (if time)
Lecture Materials
References and Further Reading
- Notes on Pontryagin's Maximum Principle (courtesy of Doug MacMynowski) - this comes from a book on dynamic programming (DP) and uses a slightly different notation than we used in class.
