Identification for Nonlinear Systems by the Automatic Choosing Function and the Genetic Algorithm

摘要

This paper deals with an identification method based on the automatic choosing function ACF) for non- linear systems. A full data region or a whole domain is divided into some subdomains and the unknown nonlinear function to be estimated is approximately described by a linear equation on each subdomain. These linear equations are united into a single one by the ACF smoothly, and thus the resulting model becomes linear in the parameters.