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Machine Learning Control - Taming Nonlinear Dynamics and Turbulence (Hardcover, 1st ed. 2017) Loot Price: R2,499
Discovery Miles 24 990
Machine Learning Control - Taming Nonlinear Dynamics and Turbulence (Hardcover, 1st ed. 2017): Thomas Duriez, Steven L....

Machine Learning Control - Taming Nonlinear Dynamics and Turbulence (Hardcover, 1st ed. 2017)

Thomas Duriez, Steven L. Brunton, Bernd R. Noack

Series: Fluid Mechanics and Its Applications, 116

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Loot Price R2,499 Discovery Miles 24 990 | Repayment Terms: R234 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Fluid Mechanics and Its Applications, 116
Release date: November 2016
First published: 2017
Authors: Thomas Duriez • Steven L. Brunton • Bernd R. Noack
Dimensions: 235 x 155 x 17mm (L x W x T)
Format: Hardcover
Pages: 211
Edition: 1st ed. 2017
ISBN-13: 978-3-319-40623-7
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Science & Mathematics > Physics > Classical mechanics > Fluid mechanics
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 3-319-40623-X
Barcode: 9783319406237

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