Abstract
This chapter discusses the central topic of this book: the use of powerful techniques from machine learning to discover effective control laws for complex, nonlinear dynamics. The machine learning control (MLC) framework is then developed using genetic programming as a search algorithm to find control laws that are not accessible through linear control theory. Implementation details and example codes are also provided.
All generalizations are false, including this one.
Mark Twain
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© 2017 Springer International Publishing Switzerland
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Duriez, T., Brunton, S.L., Noack, B.R. (2017). Machine Learning Control (MLC). In: Machine Learning Control – Taming Nonlinear Dynamics and Turbulence. Fluid Mechanics and Its Applications, vol 116. Springer, Cham. https://doi.org/10.1007/978-3-319-40624-4_2
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DOI: https://doi.org/10.1007/978-3-319-40624-4_2
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40623-7
Online ISBN: 978-3-319-40624-4
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