Wiener–Hammerstein nonlinear system identification using spectral analysis
A Brouri - International Journal of Robust and Nonlinear …, 2022 - Wiley Online Library
In this paper, a new approach is developed for the identification of Wiener–Hammerstein
model structures. Unlike several other papers, the transfer functions of linear elements are of …
model structures. Unlike several other papers, the transfer functions of linear elements are of …
Identification of switched reluctance machine using fuzzy model
The main component in renewable energy and electrical vehicles is the electric motor. The
choice of a low-cost motor, easy to maintain and with high efficiency is an important issue …
choice of a low-cost motor, easy to maintain and with high efficiency is an important issue …
Parameter identification of switched reluctance motor using exponential swept-sine signal
Switched reluctance motors (SRMs) present major interest in several domains, eg, in electric
vehicles, because of their wide range speed variation, high performances, low cost, and …
vehicles, because of their wide range speed variation, high performances, low cost, and …
Identification of parallel Wiener-Hammerstein systems
This paper is focused on the problem of system identification for a class of nonlinear systems
constituted of a Wiener subsystem and Hammerstein subsystem connected in parallel. Most …
constituted of a Wiener subsystem and Hammerstein subsystem connected in parallel. Most …
[PDF][PDF] Parameter estimation of linear and nonlinear systems connected in parallel
H Oubouaddi, FE El Mansouri, A Brouri - WSEAS Transactions on …, 2023 - academia.edu
Presently, the problem of parameter estimation is addressed for a more general nonlinear
model. In this respect, the proposed nonlinear system is composed of the parallel …
model. In this respect, the proposed nonlinear system is composed of the parallel …
Identification of switched reluctance machine inductance using artificial neuronal network
This paper aims, to presents a new method for identified the parameters of switched
reluctance machine (SRM) using neural network and Hammerstein model. This latter, is …
reluctance machine (SRM) using neural network and Hammerstein model. This latter, is …
[PDF][PDF] Ant colony optimization algorithm and fuzzy logic for switched reluctance generator control.
R Tarik, B Adil - AIMS Energy, 2022 - aimspress.com
Ant colony optimization algorithm and fuzzy logic for switched reluctance generator control
Page 1 AIMS Energy, 10(5): 987–1004. DOI: 10.3934/energy.2022045 Received: 10 February …
Page 1 AIMS Energy, 10(5): 987–1004. DOI: 10.3934/energy.2022045 Received: 10 February …
Torque control of switched reluctance motor using ANN-PID controller
This paper aims to investigate the perfection of conventional tools, as well as the application
of intelligent tools for switched reluctance motor (SRM) modelling and torque control with …
of intelligent tools for switched reluctance motor (SRM) modelling and torque control with …
Application of Frequency Response Analysis for Parameters Estimation of Switched Reluctance Motors
Switched reluctance machines (SRMAs) have recently received significant attention in the
electrical power research community. This attention can be attributed to its outstanding …
electrical power research community. This attention can be attributed to its outstanding …
Modeling and Adaptive Observer Design of Buck Power Converter with Transmission Delay
In terms of energy transmission, several phenomena can occur, which can affect the
reliability of the network, cause instabilities, and deteriorate the performance of the system …
reliability of the network, cause instabilities, and deteriorate the performance of the system …