his paper considers a problem of identification for a high dimensional nonlinear non-parametric system when only a limited data set is available. The algorithms are proposed for this purpose which exploit the relationship between the input variables and the output and further the inter-dependence of input variables so that the importance of the input variables can be established. A key to these algorithms is the non-parametric two stage input selection algorithm.
|Publisher||International Federation of Automatic Control|
|Conference||19th World Congress of the International Federation of Automatic Control (IFAC 2014)|
|Period||24/08/2014 → 29/08/2014|