Closed-loop turbulence control is a critical enabler of aerodynamic drag reduction, lift
increase, mixing enhancement, and noise reduction. Current and future applications have …

Nowadays the rapidly developing artificial intelligence has become a key solution for
problems of diverse disciplines, especially those involving big data. Successes in these …

This book is an introduction to machine learning control (MLC), a surprisingly simple model-
free methodology to tame complex nonlinear systems. These systems are assumed to be …

Extracting governing equations from data is a central challenge in many diverse areas of
science and engineering. Data are abundant whereas models often remain elusive, as in …

We present the first closed-loop separation control experiment using a novel, model-free
strategy based on genetic programming, which we call 'machine learning control'. The goal …

We demonstrate the use of high-fidelity computational fluid dynamics simulations in machine-
learning based active flow control. More specifically, for the first time, we adopt the genetic …

This paper presents an exhaustive investigation into the potential of integrating blockchain
and Artificial Intelligence (AI) technologies within aerospace engineering, explicitly …

The impact of fluidic actuation on the wake and drag of a three-dimensional blunt body is
investigated experimentally. Jets blowing tangentially to the main flow force the wake with …

Machine-learning (ML) algorithms offer a new path for investigating high-dimensional,
nonlinear problems, such as flow-dynamical systems. The development of ML methods …

In the current paper, the active flow control for enhancing vortex induced vibration (VIV) of a
circular cylinder, which can be potentially applied in ocean energy harvesting, is achieved …