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Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
Engelsk Hardback
Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
Engelsk Hardback

811 kr
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Om denne bog

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.    

Product detaljer
Sprog:
Engelsk
Sider:
211
ISBN-13:
9783319406237
Indbinding:
Hardback
Udgave:
ISBN-10:
331940623X
Udg. Dato:
15 nov 2016
Længde:
17mm
Bredde:
163mm
Højde:
246mm
Forlag:
Springer International Publishing AG
Oplagsdato:
15 nov 2016
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