Karima Hammar1, Tounsia Djamah2, Maamar Bettayeb3
12:06 - 12:28 | Wed 28 Aug | 019 | WeAT10.4
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.