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 …

It is accepted that human-induced climate change is unavoidable and it will have effects on
physical, chemical, and biological properties of aquatic habitats. This will be especially …

Abstract Auto-Regressive-Moving-Average with eXogenous input (ARMAX) models play an
important role in control engineering for describing practical systems. However, ARMAX …

Analysis and forecasting of water temperature are important for water ecological
management. The objective of this study is to compare models for water temperature during …

ARMAX models are widely used in control engineering for both system description and
control design. They can accurately describe a large class of real processes with relatively …

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 paper presents a system identification of a quarter car passive suspension system
dynamic model based on real-time running test car data. The input-output data of a car were …

Auto-regressive-moving-average with exogenous input (ARMAX) models contribute
significantly in representing a variety of practical systems, but neglect the measurement …

Self-regulated control of the flow of oxygen, air, or other gases plays an important role in the
design of new high-end medical products. High-flow proportional valves are the main …

The identification of Errors-in-variables (EIV) models refers to systems where the available
measurements of their inputs and outputs are corrupted by additive noise. A large variety of …