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Abstrakt
An online iterative method of system identification for a kind of nonlinear FOPDT system is proposed in the paper. The considered nonlinear FOPDT model is an extension of the standard FOPDT model by means that its dead time depends on the input signal and the other parameters are time dependent. In order to identify these parameters in an online manner, the considered system is discretized at first. Then, the nonlinear FOPDT identification problem is formulated as a stochastic Mixed Integer NonLinear Programming problem, and an identification algorithm is proposed by combining the BranchandBound method and Mean Least Square technique. The proposed method is tested through a number of numerical examples. As shown in the case studies, the proposed method can provide a reasonable performance in the parameters identification with regard to the reasonable accuracy. The result also showed that the dead time change according to the input can also be reasonable tracked.
Originalsprog  Engelsk 

Titel  Proceedings of the 15th International Conference on System Theory, Control and Computing, ICSTCC 2011 
Antal sider  6 
Forlag  IEEE Press 
Publikationsdato  okt. 2011 
ISBN (Trykt)  9781457711732 
Status  Udgivet  okt. 2011 
Begivenhed  15th International Conference on System Theory, Control and Computing, ICSTCC 2011  Sinaia, Rumænien Varighed: 14 okt. 2011 → 16 okt. 2011 
Konference
Konference  15th International Conference on System Theory, Control and Computing, ICSTCC 2011 

Land  Rumænien 
By  Sinaia 
Periode  14/10/2011 → 16/10/2011 
Fingeraftryk
Dyk ned i forskningsemnerne om 'System Identification for Nonlinear FOPDT Model with InputDependent DeadTime'. Sammen danner de et unikt fingeraftryk.Projekter
 1 Afsluttet

Nonlinear system identification and its application to fault detection and diagnosis
Yang, Z. & Sun, Z.
01/11/2008 → 30/06/2013
Projekter: Projekt › Forskning