Abstract
The problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described. The inherent difficulty, the curse of dimensionality, is introduced. Some recent results of variable selection in system identification are presented. Finally, a simulation example is given to justify the theoretical results.
Original language | English |
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Pages (from-to) | 1279-1284 |
Number of pages | 6 |
Journal | IFAC-PapersOnLine |
Volume | 48 |
Issue number | 28 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- linear systems
- parameter estimation
- system identification
- variables (mathematics)