… of fluid mechanics, especially in the field of active flow control (AFC). This article surveys
recent successful applications of machine learning in AFC, highlights general ideas, and aims …

… machine learning methods and their applications in engineering practice, turbulence
models, flow field representation problems, and active flow control. In short, machine learning …

… terminology and methods from the machine learning and the control theory community has
a … This article aims at reviewing some recent machine learning algorithms for flow control, …

… performs a comparative assessment of machine-learning methods for flow control. The
work focuses on the comparison of the relation of DRL and LGPC with optimal control for a …

… , we briefly review TensorFlow’s programming model and describe its support for dynamic
control flow. We also discuss how dynamic control flow is being used in machine learning. …

… Machine learning (ML) offers a wealth of techniques to extract information from data that can
… knowledge and automate tasks related to flow control and optimization. This article presents …

… We develop flow modeling and optimization techniques using … these problems, devised
from machine learning algorithms. … Flow control has been a fundamental concept in fluid …

… In this communication, we present results for three shear flow control experiments. The
goal was to improve the width of a mixing layer and to mitigate separation for the wall-bounded …

… Introduction Flow control is a rapidly evolving interdisciplinary field comprising many … for
sensors and actuators, control theory, optimization and machine learning. It has potential for use …

… Moreau employ genetic algorithms to optimize linear sensor feedback in a flow control … use
of machine learning to design control laws, partially inspired by how animals learn control in …