 |
ECOLE SUPÉRIEURE D'ÉLECTRICITÉ Une grande école d'ingénieurs au cœur des sciences de l'information,de l'énergie et des systèmes |
 |
Conference papers
A Recursive Nonlinear System Identification Method Based on Binary Measurements
Abstract : An online approach to nonlinear system identification based on binary observations is presented in this paper. This recursive method is a nonlinear extension of the LMS-like (least-mean-squares) basic identification method using binary observations (LIMBO). It can be applied in the case of weakly nonlinear Duffing oscillator coupled with a linear system characterized by a finite impulse response. It is then possible to estimate both Duffing and impulse response coefficients knowing only the system input and the sign of the system output. The impulse response is identified up to a positive multiplicative constant. The proposed method is compared in terms of convergence speed and estimation quality with the usual LMS approach, which is not based on binary observations.
Cited literature [9 references]
https://hal-supelec.archives-ouvertes.fr/hal-00643156
Contributor : Karine El Rassi <>
Submitted on : Monday, November 21, 2011 - 12:10:00 PM
Last modification on : Thursday, March 29, 2018 - 11:06:05 AM
Long-term archiving on: : Wednesday, February 22, 2012 - 2:26:29 AM
Contributor : Karine El Rassi <>
Submitted on : Monday, November 21, 2011 - 12:10:00 PM
Last modification on : Thursday, March 29, 2018 - 11:06:05 AM
Long-term archiving on: : Wednesday, February 22, 2012 - 2:26:29 AM
File
Bourgois_Juillard_SSP11.pdf
Files produced by the author(s)