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Название: Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
Автор: Thomas Duriez, Steven L. Brunton, Bernd R. Noack
Издательство: Springer
Год: 2016
Страниц: 211
Формат: PDF
Размер: 10 Mb
Язык: English
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.