Machine Learning Control Duriez Thomas
Machine Learning Control Duriez Thomas This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. This machine learning control (MLC) is…
Specifikacia Machine Learning Control Duriez Thomas
Machine Learning Control Duriez Thomas
This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws.
In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 3, methods of linear control theory are reviewed. 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
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