Exploiting Stochasticity for the Control of Transitions in Gyre Flows
Author(s) -
Dhanushka Kularatne,
Eric Forgoston,
M. Ani Hsieh
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.15607/rss.2018.xiv.060
Subject(s) - ocean gyre , control (management) , computer science , statistical physics , physics , artificial intelligence , subtropics , biology , fishery
We present a control strategy to control the intergyre 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.
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