An Adaptive Orthogonal Least Squares Algorithm for Model Subset Selection and Nonlinear System Identification

摘要

A new adaptive orthogonal least squares (AOLS) algorithm is proposed for model subset selection and nonlinear system identification. Model subset selection, or model structure detection, is a key step in any identification procedure and consists of detecting and selecting significant model terms from a redundant candidate model term set to determine a parsimonious final model............