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 Hammerstein-Wiener model with discontinuous input nonlinearity
This paper deals with the identification of Hammerstein-Wiener models with an irregular
function in the input block. These models comprise a set of linear segments. The linear time …
function in the input block. These models comprise a set of linear segments. The linear time …
Modeling and determination of switched reluctance machine nonlinearity
Switched reluctance motor (SRM) is gaining more interest in the last decades due to its wide
range of speed operation, thermal robustness, high performances and low manufacturing …
range of speed operation, thermal robustness, high performances and low manufacturing …
Volterra series based nonlinear system identification methods and modelling capabilities
The current study discusses Volterra series based nonlinear system models such as the
Taylor series, time-delay neural network (TDNN) and nonlinear autoregressive model …
Taylor series, time-delay neural network (TDNN) and nonlinear autoregressive model …
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 …
Modelling, identification, implementation and MATLAB simulations of multi-input multi-output proportional integral-plus control strategies for a centrifugal chiller system
N Tudoroiu, M Zaheeruddin… - International Journal of …, 2020 - inderscienceonline.com
The objective of this paper is to investigate a new design and real-time implementation
approach of a predictive proportional integral-plus (PIP) closed-loop control strategy for a …
approach of a predictive proportional integral-plus (PIP) closed-loop control strategy for a …
Adaptive parameter estimation for the expanded sandwich model
G Yang, H Zhang, Y Liu, Q Sun, J Qiao - Scientific Reports, 2023 - nature.com
An expanded-sandwich system is a nonlinear extended block-oriented system in which
memoryless elements in conventional block-oriented systems are displaced by memory …
memoryless elements in conventional block-oriented systems are displaced by memory …
A new multistable hyperjerk dynamical system with self-excited chaotic attractor, its complete synchronisation via backstepping control, circuit simulation and FPGA …
S Vaidyanathan, E Tlelo-Cuautle… - International …, 2020 - inderscienceonline.com
In this work, we report a new 4D chaotic hyperjerk system and present a detailed dynamic
analysis of the new system with Lyapunov exponents, bifurcation plots, etc. We find that the …
analysis of the new system with Lyapunov exponents, bifurcation plots, etc. We find that the …