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Machine Learning Control – Taming Nonlinear Dynamics and Turbulence

Af: Steven L. Brunton, Thomas Duriez, Bernd R. Noack Engelsk Hardback

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence

Af: Steven L. Brunton, Thomas Duriez, Bernd R. Noack Engelsk Hardback
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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.    

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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.    

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 211
ISBN-13: 9783319406237
Indbinding: Hardback
Udgave:
ISBN-10: 331940623X
Kategori: Flydende stoffers mekanik
Udg. Dato: 15 nov 2016
Længde: 17mm
Bredde: 163mm
Højde: 246mm
Forlag: Springer International Publishing AG
Oplagsdato: 15 nov 2016
Forfatter(e): Steven L. Brunton, Thomas Duriez, Bernd R. Noack
Forfatter(e) Steven L. Brunton, Thomas Duriez, Bernd R. Noack

Kategori Flydende stoffers mekanik

ISBN-13 9783319406237

Sprog Engelsk

Indbinding Hardback

Sider 211

Udgave

Længde 17mm

Bredde 163mm

Højde 246mm

Udg. Dato 15 nov 2016

Oplagsdato 15 nov 2016

Forlag Springer International Publishing AG

Kategori sammenhænge