Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal IAES International Journal of Robotics and Automation (IJRA)
Benyassi, Mohamed
Unknown Affiliation
Automotive Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Nonlinear systems identification with discontinuous nonlinearity Benyassi, Mohamed; Brouri, Adil; Slassi, Smail
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.
Estimation of nonlinear systems parameters Benyassi, Mohamed; Brouri, A.
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 (720.172 KB) | DOI: 10.11591/ijra.v9i1.pp26-33

Abstract

In this paper, an identification method is proposed to determine the nonlinear systems parameters. The proposed nonlinear systems can be described by Wiener systems. This structure of models consists of series of linear dynamic element and a nonlinearity block. Both the linear and nonlinear parts are nonparametric. In particular, the linear subsystem of structure entirely unknown. The considered nonlinearity function is of hard type. This latter can have a dead zone or with preload. These nonlinear systems have been confirmed by several practical applications. The suggested approach involves easily generated excitation signals.
Co-Authors Brouri, A. Brouri, Adil Slassi, Smail