Machine Learning Control - Taming Nonlinear Dynamics and Turbulence

Machine Learning Control - Taming Nonlinear Dynamics and Turbulence

December 2016 | ISBN-10: 331940623X | 211 Pages | PDF | 9.03 mb

Authors: Duriez, Thomas, Brunton, Steven L., Noack, Bernd R.
Guides the reader from the control of simple dynamical systems to real-world experiments assisted by ample supplementary material
Contains interviews with leading experts in the field
Offers extensive color figures with clear explanations
Includes exercises at the end of every chapter and Matlab codes for all examples

This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective. All chapters have exercises and supplemental videos will be available through YouTube.

Number of Pages
XX, 211
Number of Illustrations and Tables
15 b/w illustrations, 58 illustrations in colour
Engineering Fluid Dynamics
Fluid- and Aerodynamics
Control Structures and Microprogramming
Artificial Intelligence (incl. Robotics)
Applications of Nonlinear Dynamics and Chaos Theory


[Fast Download] Machine Learning Control - Taming Nonlinear Dynamics and Turbulence

Ebooks related to "Machine Learning Control - Taming Nonlinear Dynamics and Turbulence" :
Neutronic Analysis For Nuclear Reactor Systems
Observed Climate Variability and Change over the Indian Region
Smart and Sustainable Planning for Cities and Regions: Results of SSPCR 2015
Quantum Information Theory: Mathematical Foundation, Second Edition
Don't Panic with Mechanics!
Elementary Particles and the Universe: Essays in Honor of Murray Gell-Mann
Schaum's Outline of Strength of Materials
Dispersion, Complex Analysis and Optical Spectroscopy: Classical Theory
Operator Algebras and Quantum Statistical Mechanics 1
Morphogenesis: Origins of Patterns and Shapes
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.