A new approach for using the fuzzy decision trees for the detection of the significant operating points in the nonlinear modeling

Abstract

The paper presents a new approach for using the fuzzy decision tress for the detection of the significant operating points from noninvasive measurements of the nonlinear dynamic object. The PSO-GA algorithm is used to identify the unknown values of the system matrix describing the nonlinear dynamic object. It is defined in the terminal nodes of the fuzzy decision tree. The new approach was tested on the nonlinear electrical circuit. The obtained results prove efficiency of the new approach for using fuzzy decision tree for the detection of the significant operating points in the nonlinear modeling.