Title :
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
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;
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
DOI :
10.1109/CCCM.2009.5270434
