TY  - BOOK
AU  - Brunton, Steven
AU  - Kutz, J. Nathan 
TI  - Data-driven science and engineering : machine learning, dynamical systems, and control
SN  - 9781009098489
U1  - 620.0028 
PY  - 2022///
CY  - UK
PB  - CAMBRIDGE UNIVERSITY PRESS
KW  - Sparsity and compressed sensing
KW  - Reinforcement Learning
KW  - Linear Control Theory
N2  - Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art
ER  -