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

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Estimation of nonlinear systems parameters Mohamed Benyassi; A. Brouri
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 Mohamed Benyassi