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A Discrete Geometric Optimal Control Framework for Systems with Symmetries
Chicago
Abstract
This paper studies the optimal motion control of mechanical systems through a discrete geometric approach. At the core of our formulation is a discrete Lagrange-d'Alembert- Pontryagin variational principle, from which are derived discrete equations of motion that serve as constraints in our optimization framework. We apply this discrete mechanical approach to holonomic systems with symmetries and, as a result, geometric structure and motion invariants are preserved. We illustrate our method by computing optimal trajectories for a simple model of an air vehicle flying through a digital terrain elevation map, and point out some of the numerical benefits that ensue.
Additional Information
We are grateful to Eva Kanso, Nawaf Bou-Rabee, Sina Ober-Blöbaum, and Sigrid Leyendecker for their interest and helpful comments. This work was supported in part by NSF (CCR-0120778, CCR-0503786, IIS-0133947 and ITR DMS- 0453145), DOE (DE-FG02-04ER25657), the Caltech Center for Mathematics of Information and AFOSR Contract FA9550- 05-1-0343.Attached Files
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Additional details
- Eprint ID
- 20319
- Resolver ID
- CaltechAUTHORS:20101006-094836717
- NSF
- CCR-0120778
- NSF
- CCR-0503786
- NSF
- IIS-0133947
- NSF- Information Technology Research (ITR)
- DMS-0453145
- Department of Energy (DOE)
- DE-FG02-04ER25657
- Caltech Center for Mathematics of Information
- Air Force Office of Scientific Research (AFOSR)
- FA9550-05-1-0343
- Created
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2020-03-09Created from EPrint's datestamp field
- Updated
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2020-03-03Created from EPrint's last_modified field