This work presents the application of an initialization scheme for nonlinear state-space
models on a real data benchmark example: the Silverbox problem. The goal of the proposed …

This paper discusses a novel initialization algorithm for the estimation of nonlinear state-
space models. Good initial values for the model parameters are obtained by identifying …

Data-driven modeling of stochastic nonlinear systems is recognized as a very challenging
problem, even when reduced to a parameter estimation problem. A main difficulty is the …

Nonlinear stochastic parametric models are widely used in various fields whenever linear
models are not adequate. However, the problem of parameter identification is very …

We consider a parameter estimation problem in a general class of stochastic multiple-inputs
multiple-outputs Wiener models, where the likelihood function is, in general, analytically …

Nonlinear System Identification for MEMS devices Page 1 Nonlinear System Identification
for MEMS devices Francesco Ferranti, Anna Marconato ELEC – Vrije Universiteit Brussel …