Identification of Hammerstein-Wiener model with discontinuous input nonlinearity

A Brouri, FZ El Mansouri, FZ Chaoui… - Science China …, 2023 - Springer
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 …

Investigation of extreme learning machine-based fault diagnosis to identify faulty components in analog circuits

S Biswas, GK Mahanti, N Chattaraj - Circuits, Systems, and Signal …, 2024 - Springer
Due to the growing complexities in electronic circuits, it is important to find the faults in a
circuit and also diagnose since it is a crucial part during integrated circuit design process. In …

Self-error learning framework-based algorithm for parameter recovery of extended Wiener–Hammerstein systems subject to quantised measurements

H Cao, L Li, Y Feng, L Li - ISA transactions, 2024 - Elsevier
In this study, a novel estimation scheme is proposed for identifying extended Wiener–
Hammerstein systems with hysteresis nonlinearity subject to quantised measurements. The …

[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 …