Optimal strategies for the control of autonomous vehicles in data assimilation
Document Type
Article
Publication Date
8-1-2017
Abstract
We propose a method to compute optimal control paths for autonomous vehicles deployed for the purpose of inferring a velocity field. In addition to being advected by the flow, the vehicles are able to effect a fixed relative speed with arbitrary control over direction. It is this direction that is used as the basis for the locally optimal control algorithm presented here, with objective formed from the variance trace of the expected posterior distribution. We present results for linear flows near hyperbolic fixed points.
Identifier
85019618586 (Scopus)
Publication Title
Physica D Nonlinear Phenomena
External Full Text Location
https://doi.org/10.1016/j.physd.2017.04.001
ISSN
01672789
First Page
42
Last Page
52
Volume
351-352
Recommended Citation
McDougall, D. and Moore, R. O., "Optimal strategies for the control of autonomous vehicles in data assimilation" (2017). Faculty Publications. 9384.
https://digitalcommons.njit.edu/fac_pubs/9384