State Estimation Using Non-uniform and Delayed Information: A Review

Autor: Isaza, Jhon, Botero, Hector, Alvarez, Hernan
Zdroj: International Journal of Automation and Computing; April 2018, Vol. 15 Issue: 2 p125-141, 17p
Abstrakt: The study and application of methods for incorporating nonuniform and delayed information in state estimation techniques are important topics to advance in soft sensor development.Therefore, this paper presents a review of these methods and proposes a taxonomy that allows a faster selection of state estimator in this type of applications. The classification is performed according to the type of estimator, method, and used tool. Finally, using the proposed taxonomy, some applications reported in the literature are described.
Databáze: Supplemental Index