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 …
Investigation of extreme learning machine-based fault diagnosis to identify faulty components in analog circuits
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 …
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 …
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 …
model. In this respect, the proposed nonlinear system is composed of the parallel …