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All Journal IAES International Journal of Robotics and Automation (IJRA)
Adil Brouri
Moulay Ismail University
Automotive Engineering Electrical & Electronics Engineering

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Nonlinear systems identification with discontinuous nonlinearity Mohamed Benyassi; Adil Brouri; Smail Slassi
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (751.239 KB) | DOI: 10.11591/ijra.v9i1.pp34-41

Abstract

In this paper, nonparametric nonlinear systems identification is proposed. The considered system nonlinearity is nonparametric and is of hard type. This latter can be discontinuous and noninvertible. The entire nonlinear system is structured by Hammerstein model. Furthermore, the linear dynamic block is of any order and can be nonparametric. The problem identification method is done within two stages. In the first stage, the system nonlinearity is identified using simple input signals. In the first stage, the linear dynamic block parameters are estimated using periodic signals. The proposed algorithm can be used of large class of nonlinear systems.
Co-Authors Mohamed Benyassi Smail Slassi