Comparison between Segmentation and Recursive Identification procedures in Fitting Appropriate Model in Unstable Dynamic Systems

Abstract

The deals with identification operation fitting model for the dynamic system it is one of the critical issues, and become identification operation more complication and difficulty in the states non-stationary dynamic system, this system appear for workpeople in different scientific field whether in medicine as system work breast or wateriness armory and sea motion system and other than. The paper deals with two procedure from identification procedures non stationary dynamic system and limitation approach recursive identification and segmentation approach data by using applied tactics emulation and comparison operation dependence of realization many of condition statistical and engineering and cod given segmentation approach results best than recursive identification approach.