This paper introduces a continuous-time fractional-order Hammerstein state-space model
with a systematic identification algorithm for modeling nonlinear dynamic systems. The …

This study presents the first attempt of direct continuous‐time model identification using
instrumental variable method for Hammerstein–Wiener systems from sampled data. Under …

The goal of this work is to present a causation modeling methodology with the ability to
accurately infer blood glucose levels using a large set of highly correlated noninvasive input …

In the learning techniques based on kernel or orthogonal basis functions, the nonlinearity in
the underlying complex dynamic process is modelled by a linear combination of a set of …

In this paper, a multivariable nonlinear mathematical model of ultrasonic motor for speed
control, which includes all the control variables of ultrasonic motor (the peak-topeak voltage …

This paper presents a new method to model a steam temperature in distillation system by
using system identification. Three nonlinear models have been compared, ie a Hammerstein …

A new approach is introduced to estimate the formal information of neurons. Formal
Information, mainly discusses about the aspects of the response that is related to the …

This chapter presents and discusses various aspects of what theory predicts in terms of
accuracy of instrumental variable estimates. A general derivation of the covariance matrix of …

In this paper an approach to continuous-time nonlinear block-oriented dynamic system
identification containing unknown time delay is presented. In the presented approach the …

A Study of Solutions of Some Nonlinear Integral Equations in the Space of Functions of
Bounded Second Variation in the Sense of Shiba | Mediterranean Journal of Mathematics Skip …