| Paper: | SPTM-P11.7 | ||
| Session: | Nonlinear Systems and Signal Processing | ||
| Time: | Friday, May 19, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Nonlinear Systems and Signal Processing | ||
| Title: | IDENTIFICATION OF QUADRATIC NON LINEAR SYSTEMS USING HIGHER ORDER STATISTICS AND FUZZY MODELS | ||
| Authors: | Jilali Antari, Radouane Iqdour, Cadi Ayyad University, Morocco; Said Safi, National School of Applied Sciences, Morocco; Abdelouhab Zeroual, Cadi Ayyad University, Morocco; Abdelouahid Lyhyaoui, National School of Applied Sciences, Morocco | ||
| Abstract: | In this work we compare tow methods for the identification of non-linear systems. The first one uses a quadratic non linear model of which parameters are estimated using a new algorithm based on the fourth order cumulants. The second one is based on the Takagi-Sugeno fuzzy models. The simulation results show that the fuzzy models give the good results in noiseless and weak noise environment. However the quadratic model of which parameters are identified using the proposed algorithm works well in the high noise environment case. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012