Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/68270
Title: Identification of multivariable delay processes in presence of nonzero initial conditions and disturbances
Authors: Liu, M.
Wang, Q.-G. 
Hang, C.C. 
Tang, W.
Keywords: Integral method
Multivariable system
Process identification
Time delays
Issue Date: 2007
Source: Liu, M.,Wang, Q.-G.,Hang, C.C.,Tang, W. (2007). Identification of multivariable delay processes in presence of nonzero initial conditions and disturbances. Canadian Journal of Chemical Engineering 85 (4) : 399-407. ScholarBank@NUS Repository.
Abstract: In this paper, a robust identification method is proposed for multiple-input and multiple-output (MIMO) continuous-time processes with multiple time delays. Suitable multiple integrations are constructed and regression equations linear in the aggregate parameters are derived with the use of the test responses and their multiple integrals. The multiple time delays are estimated by solving some algebraic equations without iteration and the other process model parameters are then recovered. Its effectiveness is demonstrated through simulation and real-time testing.
Source Title: Canadian Journal of Chemical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/68270
ISSN: 00084034
Appears in Collections:Staff Publications

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