Data Driven Identification Of Networks Of Dynamic Systems
Download Data Driven Identification Of Networks Of Dynamic Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Driven Identification Of Networks Of Dynamic Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Data-Driven Identification of Networks of Dynamic Systems
Author: Michel Verhaegen
language: en
Publisher: Cambridge University Press
Release Date: 2022-05-12
A comprehensive introduction to identifying network-connected systems, covering models and methods, and applications in adaptive optics.
Data-Driven Science and Engineering
Author: Steven L. Brunton
language: en
Publisher: Cambridge University Press
Release Date: 2022-05-05
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Automating Data-Driven Modelling of Dynamical Systems
This book describes a user-friendly, evolutionary algorithms-based framework for estimating data-driven models for a wide class of dynamical systems, including linear and nonlinear ones. The methodology addresses the problem of automating the process of estimating data-driven models from a user’s perspective. By combining elementary building blocks, it learns the dynamic relations governing the system from data, giving model estimates with various trade-offs, e.g. between complexity and accuracy. The evaluation of the method on a set of academic, benchmark and real-word problems is reported in detail. Overall, the book offers a state-of-the-art review on the problem of nonlinear model estimation and automated model selection for dynamical systems, reporting on a significant scientific advance that will pave the way to increasing automation in system identification.