Machine Learning Control – Taming Nonlinear Dynamics and Turbulence Book Reviews
Machine Learning Control – Taming Nonlinear Dynamics and Turbulence by Thomas Duriez, Steven L. Brunton & Bernd R. Noack Book Summary
This is the first book 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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| Book Name | Machine Learning Control – Taming Nonlinear Dynamics and Turbulence |
| Genre | Mechanical Engineering |
| Author | Thomas Duriez, Steven L. Brunton & Bernd R. Noack |
| Published | 02 November 2016, Wednesday |
| Language | English |
| E-Book Size | 5.4 MB |
Machine Learning Control – Taming Nonlinear Dynamics and Turbulence (Thomas Duriez, Steven L. Brunton & Bernd R. Noack) Book Reviews 2024
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Machine Learning Control – Taming Nonlinear Dynamics and Turbulence ebook machine-learning-control-taming-nonlinea (5.4 MB) download new links will be update!
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Summary of Machine Learning Control – Taming Nonlinear Dynamics and Turbulence by Thomas Duriez, Steven L. Brunton & Bernd R. Noack
The Machine Learning Control – Taming Nonlinear Dynamics and Turbulence book written by Thomas Duriez, Steven L. Brunton & Bernd R. Noack was published on 02 November 2016, Wednesday in the Mechanical Engineering category. A total of 172 readers of the book gave the book 0 points out of 5.
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