The paper gives a survey of errors-in-variables methods in system identification.
Background and motivation are given, and examples illustrate why the identification problem …

This book presents an overview of the different errors-in-variables (EIV) methods that can be
used for system identification. Readers will explore the properties of an EIV problem. Such …

Real-time dynamic displacement and acceleration responses of the main span section of the
Tianjin Fumin Bridge in China under ambient excitation were tested using a Global …

Free-running model tests have been carried out based on a scaled chemical tanker ship
model, having a guidance, control and navigation system developed and implemented in …

Numerous regression approaches to isotherm parameters estimation appear in the
literature. The real insight into the proper modeling pattern can be achieved only by testing …

The recursive algorithm is given for estimating matrix coefficients of the multivariate errors-in-
variables (EIV) systems. It is shown that under mild conditions the estimate given by the …

The paper gives a survey of errors-in-variables methods in system identification.
Background and motivation are given, and examples illustrate why the identification problem …

The purpose of the paper is to give the recursive estimate for coefficients of the single-input–
single-output (SISO) errors-in-variables (EIV) system and to prove its strong consistency …

A worst-case identification method in frequency domain is proposed to cope with the
identification of errors-in-variables models (EIVMs) in closed loop. With a priori bound for the …

When identifying a dynamic system the model order has to be determined unless it is a priori
known. For an errors-in-variables situation where both input and output measurements are …