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 …

Accurate and efficient state-of-charge estimation for lithium-ion batteries are extremely
crucial for electrical vehicles. A lot of researches make great progress on joint estimation …

Identification problems of output error models with moving average noises are considered in
this paper. The least‐squares‐based parameter estimation is biased under the colored …

The paper gives an overview of errors-in-variables methods in system identification.
Background and motivation are given. Simple examples illustrate why the identification …

Abstract Errors-in-variables (EIV) identification refers to the problem of consistently
estimating linear dynamic systems whose output and input variables are affected by additive …

The errors-in-variables identification problem concerns dynamic systems in which input and
output signals are contaminated by an additive noise. Several estimation methods have …

In this paper, the problem of identifying stochastic linear discrete-time systems from noisy
input/output data is addressed. The input noise is supposed to be white, while the output …

This paper deals with the identification problem of discrete-time linear time-invariant errors-
in-variables systems for the case of the colored output noise. Based on the correlation …

This work deals with the identification of dynamic systems from noisy input–output
observations, where the noise-free input is not parameterized. The basic assumptions made …