Machine Learning Control – Taming Nonlinear Dynamics and Turbulence

Discover the groundbreaking insights in "Machine Learning Control – Taming Nonlinear Dynamics and Turbulence" by Thomas Duriez, published by Springer International Publishing AG in 2016. This first edition textbook serves as a comprehensive guide to a universally applicable control strategy tailored for turbulence and other intricate nonlinear systems. Spanning 211 pages, this essential resource delves into advanced concepts and methodologies, including a pivotal Chapter 5 that reveals how Machine Learning Control (MLC) identifies and leverages a strongly nonlinear actuation mechanism in low-dimensional dynamical systems, particularly when traditional linear control methods fall short. Perfect for researchers and practitioners alike, this book is a must-have for anyone looking to deepen their understanding of machine learning applications in control systems.