Name
Title | ||
|---|---|---|
Classification for Dynamical Systems: Model-based Approach and Support Vector Machines. |
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. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Systems and Control | Mathematical optimization,Support vector machine,Dynamical systems theory,Artificial intelligence,Mathematics |
DocType | Volume | Citations |
Journal | abs/1803.10552 | 0 |
PageRank | References | Authors |
0.34 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giorgio Battistelli | 1 | 623 | 46.03 |
| Pietro Tesi | 2 | 452 | 32.00 |