Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jprocont.2006.08.002
Title: Improved identification of continuous-time delay processes from piecewise step tests
Authors: Liu, M.
Wang, Q.-G. 
Huang, B.
Hang, C.C. 
Keywords: Integral methods
PRBS
Process identification
Relay test
Time delay systems
Issue Date: Jan-2007
Source: Liu, M., Wang, Q.-G., Huang, B., Hang, C.C. (2007-01). Improved identification of continuous-time delay processes from piecewise step tests. Journal of Process Control 17 (1) : 51-57. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jprocont.2006.08.002
Abstract: In this paper, an improved identification algorithm is presented for continuous-time delay systems under unknown initial conditions and disturbances for a wide range of input signals expressible as a sequence of step signals. It is based on a novel regression equation which is derived by taking into account the nature of the underlying test signal. The equation has more linearly independent functions and thus enables to identify a full process model with time delay as well as combined effects of unknown initial condition and disturbance without any iteration. Unlike the method in Wang et al. [Q.-G. Wang, M. Liu, C.H. Chang, W. Tang, Robust process identification from relay tests in the presence of non-zero initial conditions and disturbance. Industrial and Engineering Chemistry Research 45(12) (2006) 4063-4070], this new algorithm requires no process data before the test starts. Its effectiveness is demonstrated through examples. © 2006 Elsevier Ltd. All rights reserved.
Source Title: Journal of Process Control
URI: http://scholarbank.nus.edu.sg/handle/10635/56275
ISSN: 09591524
DOI: 10.1016/j.jprocont.2006.08.002
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