Identification of Slow-Rate Integrated Measurement Systems Using Expectation-Maximization Algorithm

Despite the fact that slow-rate integrated measurement (SRTM), a gradual accumulation of material during a period of time, is a well-known method of sampling in industrial systems, especially chemical processes, the problem of the identification of SRTM systems has not been addressed so far. In this...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 69; H. 12; S. 9477 - 9484
Hauptverfasser:	Kheirandish, Amid, Fatehi, Alireza, Gheibi, Mir Sajjad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Autoregressive models Autoregressive processes Chemical reactions Computer simulation Expectation-maximization algorithms Expectation–maximization (EM) algorithm Impulse response integrated autoregressive exogenous (IARX) model integrated finite impulse response (IFIR) model Kalman filters Mathematical model Maximization Monte Carlo simulation Optimization Parameter estimation Sampling slow-rate integrated measurement (SRTM) System identification
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!