Publication:
Scaling and Balancing for High-Performance Computation of Optimal Controls

Loading...
Thumbnail Image
Authors
Ross, I.M.
Gong, Q.
Karpenko, M.
Proulx, R.J.
Subjects
Advisors
Date of Issue
2018-10
Date
Publisher
ARC
Language
Abstract
It is well known that proper scaling can increase the efficiency of computational problems. In this paper, we define and show that a balancing technique can substantially improve the computational efficiency of optimal-control algorithms. We also show that noncanonical scaling and balancing procedures may be used quite effectively to reduce the computational difficulty of some hard problems. These results have been used successfully for several flight and field operations at NASA and the U.S. Department of Defense. A surprising aspect of our analysis shows that it may be inadvisable to use autoscaling procedures employed in some software packages. The new results are agnostic to the specifics of the computational method; hence, they can be used to enhance the utility of any existing algorithm or software.
Type
Article
Description
The article of record may be found at ttps://doi.org/10.2514/1.G003382
Series/Report No
Department
Identifiers
NPS Report Number
Sponsors
Funder
Format
12 p.
Citation
Ross, I. M., et al. "Scaling and balancing for high-performance computation of optimal controls." Journal of Guidance, Control, and Dynamics 41.10 (2018): 2086-2097.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Collections