Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0959-1524(00)00031-7
Title: Direct identification of continuous time delay systems from step responses
Authors: Wang, Q.-G. 
Guo, X. 
Zhang, Y. 
Keywords: Instrumental variable method
Least-squares algorithm
Low-order modelling
Process identification
Step response
Issue Date: Oct-2001
Source: Wang, Q.-G., Guo, X., Zhang, Y. (2001-10). Direct identification of continuous time delay systems from step responses. Journal of Process Control 11 (5) : 531-542. ScholarBank@NUS Repository. https://doi.org/10.1016/S0959-1524(00)00031-7
Abstract: In this paper, a simple yet robust method is proposed for identification of linear continuous time delay processes from step responses. New linear regression equations are directly derived from the process differential equation. The regression parameters are then estimated without iterations, and an explicit relationship between the regression parameters and those in the process are given. Due to use of the process output integrals in the regression equations, the resulting parameter estimation is very robust in the face of large measurement noise in the output. The proposed method is detailed for a second-order plus dead-time model with one zero, which can approximate most practical industrial processes, covering monotonic or oscillatory dynamics of minimum-phase or non-minimum-phase processes. Such a model can be obtained without any iteration. The effectiveness of the identification method has been demonstrated through simulation. © 2001 Elsevier Science Ltd. All rights reserved.
Source Title: Journal of Process Control
URI: http://scholarbank.nus.edu.sg/handle/10635/55649
ISSN: 09591524
DOI: 10.1016/S0959-1524(00)00031-7
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