Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jprocont.2013.08.003
Title: A tutorial review on process identification from step or relay feedback test
Authors: Liu, T.
Wang, Q.-G. 
Huang, H.-P.
Keywords: Frequency response estimation
Least-squares fitting
Model identification
Relay feedback test
Step response test
Time delay model
Issue Date: 2013
Citation: Liu, T., Wang, Q.-G., Huang, H.-P. (2013). A tutorial review on process identification from step or relay feedback test. Journal of Process Control 23 (10) : 1597-1623. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jprocont.2013.08.003
Abstract: Step and relay feedback tests have been widely used for model identification in the process industry. The corresponding identification methods developed in the past three decades are surveyed in this paper. Firstly, the process models with time delay mainly adopted for identification in the literature are presented with a classification on different response types. By categorizing the major technical routes developed in the existing references for parameter estimation relating to different applications, the identification methods are subsequently clustered into groups for overview, along with two specific categories for robust identification against load disturbance and the identification of multivariable or nonlinear processes. The rationales of each category are briefly explained, while a typical or state-of-the-art identification algorithm of each category is elucidated along with application to benchmark examples from the literature to illustrate the achievable accuracy and robustness, for the purpose of facilitating the readers to have a general knowledge of the research development. Finally, an outlook on the open issues regarding step or relay identification is provided to call attention to future exploration. © 2013 Elsevier Ltd.
Source Title: Journal of Process Control
URI: http://scholarbank.nus.edu.sg/handle/10635/68103
ISSN: 09591524
DOI: 10.1016/j.jprocont.2013.08.003
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