DocumentCode
2522914
Title
An improved Genetic Algorithm for multi-delay times identification
Author
Yongfang, Xie ; Jing, Zhang ; Can, Huang ; Chunhua, Yang
Author_Institution
Central South Univ. Inst. of Inf. Sci. & Eng., Changsha, China
fYear
2011
fDate
23-25 May 2011
Firstpage
3254
Lastpage
3257
Abstract
An improved Genetic Algorithm(GA) is developed for solving the problem of multi-time delays identification in complex industrial processes. Such as Elitism, optimum selection crossover operate and cataclysmic mutation are adopted in the improved genetic algorthm, then applied to obtain an optimal multi-time delays identification of MIMO system. The simulation result shows that this improved GA´s result is more efficient in accuracy as well as in convergence.
Keywords
MIMO systems; delays; genetic algorithms; MIMO system; cataclysmic mutation; complex industrial process; improved genetic algorithm; multidelay time identification; Control systems; Delay; Genetic algorithms; Genetics; MIMO; Optimization; Process control; Multi-time delays; improved genetic algorithm; parameter identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968818
Filename
5968818
Link To Document