Recent advances in applying deep reinforcement learning for flow control: Perspectives and future directions
Deep reinforcement learning (DRL) has been applied to a variety of problems during the
past decade and has provided effective control strategies in high-dimensional and non …
past decade and has provided effective control strategies in high-dimensional and non …
Review of active control of circular cylinder flow
Fluid flow around a circular cylinder is ubiquitous in nature and in various industrial
applications. The periodic von Kármán vortex shedding from the cylinder is one of the …
applications. The periodic von Kármán vortex shedding from the cylinder is one of the …
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
This paper focuses on the active flow control of a computational fluid dynamics simulation
over a range of Reynolds numbers using deep reinforcement learning (DRL). More …
over a range of Reynolds numbers using deep reinforcement learning (DRL). More …
Applying deep reinforcement learning to active flow control in weakly turbulent conditions
Machine learning has recently become a promising technique in fluid mechanics, especially
for active flow control (AFC) applications. A recent work [Rabault et al., J. Fluid Mech. 865 …
for active flow control (AFC) applications. A recent work [Rabault et al., J. Fluid Mech. 865 …