Optimal strategies for the control of autonomous vehicles in data assimilation

D. McDougall, R. O. Moore

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)42-52
Number of pages11
JournalPhysica D: Nonlinear Phenomena
Volume351-352
DOIs
StatePublished - Aug 1 2017

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Condensed Matter Physics
  • Applied Mathematics

Keywords

  • Bayesian inverse problem
  • Lagrangian data assimilation
  • Ocean glider
  • Optimal control

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