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...

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Bibliographic Details
Published in:	IEEE transactions on instrumentation and measurement Vol. 69; no. 12; pp. 9477 - 9484
Main Authors:	Kheirandish, Amid, Fatehi, Alireza, Gheibi, Mir Sajjad
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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