Active cloaking in Stokes flows via reinforcement learning

DOI10.1017/jfm.2020.665zbMath1460.76983arXiv1911.03529OpenAlexW3090319161MaRDI QIDQ4971966

Mehdi Mirzakhanloo, Mohammad-Reza Alam, Soheil Esmaeilzadeh

Publication date: 15 October 2020

Published in: Journal of Fluid Mechanics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1911.03529

zbMATH Keywords

swimming/flyingmicro-organism dynamics

Mathematics Subject Classification ID

Biomechanics (92C10) Biopropulsion in water and in air (76Z10)

Related Items

The control of particles in the Stokes limit ⋮ Optimizing low-Reynolds-number predation via optimal control and reinforcement learning

Uses Software

• BEMLIB

Cites Work

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• A nearest-neighbour discretisation of the regularized stokeslet boundary integral equation
• \({\mathcal Q}\)-learning
• Hydrodynamics of self-propulsion near a boundary: predictions and accuracy of far-field approximations
• Controlling Electromagnetic Fields
• The method of regularized Stokeslets in three dimensions:  Analysis, validation, and application to helical swimming
• Boundary Integral and Singularity Methods for Linearized Viscous Flow
• Filament mechanics in a half-space via regularised Stokeslet segments
• A Kinetic Model for Semidilute Bacterial Suspensions
• The explicit linear quadratic regulator for constrained systems