DocumentCode
620006
Title
Identification of fractional-order system based on modified differential evolution
Author
Lilian Huang ; Xiaoliang Zhou
Author_Institution
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
fYear
2013
fDate
25-27 May 2013
Firstpage
1856
Lastpage
1861
Abstract
Fractional order system can accurately describe systems by introducing additional degrees of freedom, but at the same time it increases the difficulty to identify the systems. In this paper, a modified differential evolution(MDE) is proposed, according to the response data of time domain, the rational fitness function is designed to identify the fractional order SISO(Single Input Single Output) system. The proposed method could identify both the parameters and the orders of the model, and is adaptive to the unknown system models. The simulation results show the accuracy and efficiency of this method.
Keywords
evolutionary computation; parameter estimation; time-domain analysis; MDE; fractional order SISO identification; fractional order single input single output system; modified differential evolution; parameter identification; rational fitness function; time domain response data; Convergence; Data models; Mathematical model; Sociology; Statistics; Time-domain analysis; Vectors; Fitness Function; Fractional-order System; Modified Differential Evolution; SISO(Single Input Single Output); Time Domain Identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561235
Filename
6561235
Link To Document