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.
CITATION STYLE
Duriez, T., Brunton, S. L., & Noack, B. R. (2017). Machine learning control (MLC). In Fluid Mechanics and its Applications (Vol. 116, pp. 11–48). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-319-40624-4_2
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