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Machine Learning Control – Taming Nonlinear Dynamics and Turbulence

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...

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Main Authors: Duriez, Thomas. (Author, http://id.loc.gov/vocabulary/relators/aut), Brunton, Steven L. (http://id.loc.gov/vocabulary/relators/aut), Noack, Bernd R. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Fluid Mechanics and Its Applications, 116
Subjects:
Fluid mechanics.
Fluids.
Control engineering.
Microprogramming .
Artificial intelligence.
Statistical physics.
Engineering Fluid Dynamics.
Fluid- and Aerodynamics.
Control and Systems Theory.
Control Structures and Microprogramming.
Artificial Intelligence.
Applications of Nonlinear Dynamics and Chaos Theory.
Online Access:https://doi.org/10.1007/978-3-319-40624-4

Internet

https://doi.org/10.1007/978-3-319-40624-4

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