@inproceedings{d6a7edabad4649cab901c4ddd06ff520,
title = "Exploiting Stochasticity for the Control of Transitions in Gyre Flows",
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.",
author = "Dhanushka Kularatne and Eric Forgoston and Hsieh, {M. Ani}",
note = "Funding Information: This work was supported by the Office of Naval Research (ONR) grant N000141712690 and the National Science Foundation (NSF) grants CMMI 1462825 and IIS 1253917. Publisher Copyright: {\textcopyright} 2018, MIT Press Journals. All rights reserved.; 14th Robotics: Science and Systems, RSS 2018 ; Conference date: 26-06-2018 Through 30-06-2018",
year = "2018",
doi = "10.15607/RSS.2018.XIV.060",
language = "English",
isbn = "9780992374747",
series = "Robotics: Science and Systems",
publisher = "MIT Press Journals",
editor = "Hadas Kress-Gazit and Srinivasa, {Siddhartha S.} and Tom Howard and Nikolay Atanasov",
booktitle = "Robotics",
address = "United States",
}