Fractional Hammerstein System Identification Based on Two Decomposition Principles

Karima Hammar1, Tounsia Djamah2, Maamar Bettayeb3

  • 1University of Tizi Ouzou
  • 2University Mouloud Mammeri of Tizi-Ouzou,Tizi-ouzou,ALGERIA
  • 3Univ of Sharjah

Details

12:06 - 12:28 | Wed 28 Aug | 019 | WeAT10.4

Session: Fractional Order Systems and Controllers for Industrial Processes: Advances and Prospects

Abstract

This paper deals with fractional non-linear Hammerstein system identification; the Controlled Auto-Regression (HCAR) model is considered. The identification process is derived for fractional HCAR system based on the Over-parametrization principle and the Key-term separation principle. The Levenberg-Marquardt algorithm combined with each of these principles is used to identify the fractional HCAR system. Various simulations test the efficiency of the optimization method based on these principles.