Machine Learning, Dynamical Systems and Control


Many complex systems exhibit dominant low-dimensional patterns in the data, despite the rapidly increasing resolution of measurements and computations. Pattern extraction is related to finding coordinate transforms that simplify the system. Indeed, the rich history of mathematical physics is centered around coordinate ng, and compact representations for modeling and control. Thus, the third chapter involves sparse sampling approaches to exploit this low-dimensional structure.


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