Exploiting Stochasticity for the Control of Transitions in Gyre Flows

Dhanushka Kularatne, Eric Forgoston, M. Ani Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We present a control strategy to control the inter-gyre switching time of an agent operating in a gyre flow. The proposed control strategy exploits the stochasticity of the underlying environment to affect inter-gyre transitions. We show how control can be used to enhance or abate the mean escape time and present a strategy to achieve a desired mean escape time. We show that the proposed control strategy can achieve any desired escape time in an interval governed by the maximum available control. We demonstrate the effectiveness of the strategy in simulations.

Original languageEnglish
Title of host publicationRobotics
Subtitle of host publicationScience and Systems XIV
EditorsHadas Kress-Gazit, Siddhartha S. Srinivasa, Tom Howard, Nikolay Atanasov
PublisherMIT Press Journals
ISBN (Print)9780992374747
DOIs
StatePublished - 2018
Event14th Robotics: Science and Systems, RSS 2018 - Pittsburgh, United States
Duration: 26 Jun 201830 Jun 2018

Publication series

NameRobotics: Science and Systems
ISSN (Electronic)2330-765X

Conference

Conference14th Robotics: Science and Systems, RSS 2018
Country/TerritoryUnited States
CityPittsburgh
Period26/06/1830/06/18

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