An identification method based on the DE and NLJ hybrid algorithm and its application

Author

Fu, Gang ; Shi, Dapeng ; Zhao, Shimin

Author_Institution

Dept. of Autom., Tsinghua Univ., Beijing, China

Volume

2

fYear

2009

fDate

8-9 Aug. 2009

Firstpage

303

Lastpage

306

Abstract

Identification the accurate model is crucial and initial step for applying advanced process control. A hybrid system identification method is proposed in this paper. This combination algorithm is designed to take both advantage of differential evolution (DE) and new Luss-Jaakola (NLJ) algorithm, which use the DE to search the initial parameters for the NLJ algorithm. The results of simulation have verified its effectiveness and feasibility.

Keywords

evolutionary computation; identification; process control; search problems; advanced process control; differential evolution; hybrid system identification method; initial parameter search; model-based advanced control; new Luss-Jaakola algorithm; Algorithm design and analysis; Automatic control; Automation; Communication system control; Electrical equipment industry; Evolutionary computation; Mathematical model; Optimization methods; Process control; System identification; differential evolution(DE); new Luss-Jakkola (NLJ); system identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on

Conference_Location

Sanya

Print_ISBN

978-1-4244-4247-8

Type

conf

DOI

10.1109/CCCM.2009.5270434

Filename

5270434