IAES International Journal of Robotics and Automation (IJRA)
Vol 9, No 1: March 2020

Nonlinear systems identification with discontinuous nonlinearity

Mohamed Benyassi (High School of Technology ESTM Moulay Ismail University Meknès Morocco)
Adil Brouri (Moulay Ismail University)
Smail Slassi (Moulay Ismail University)

Article Info

Publish Date
06 Mar 2019

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.

Copyrights © 2020




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
751.239 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
IAES International Journal of Robotics and Automation (IJRA)
Website

Abbrev

IJRA

Publisher

Institute of Advanced Engineering and Science

Subject

Automotive Engineering Electrical & Electronics Engineering

Description

Robots are becoming part of people's everyday social lives and will increasingly become so. In future years, robots may become caretaker assistants for the elderly, or academic tutors for our children, or medical assistants, day care assistants, or psychological counselors. Robots may become our ...