Classification for Dynamical Systems: Model-based Approach and Support Vector Machines
Systems and Control
2018-03-29 v1
Abstract
We consider the problem of classifying trajectories generated by dynamical systems. We investigate a model-based approach, the common approach in control engineering, and a data-driven approach based on Support Vector Machines, a popular method in the area of machine learning. The analysis points out connections between the two approaches and their relative merits.
Cite
@article{arxiv.1803.10552,
title = {Classification for Dynamical Systems: Model-based Approach and Support Vector Machines},
author = {Giorgio Battistelli and Pietro Tesi},
journal= {arXiv preprint arXiv:1803.10552},
year = {2018}
}