Title :
The credibility analysis of a kind of system identification method based on genetic algorithm
Author :
Hongze, Xu ; Maosheng, Xu ; Wei Zueye
Author_Institution :
Northern Jiaotong Univ., Beijing, China
Abstract :
The credibility analysis of a kind of system identification method based on genetic algorithm (GA) is studied. First, the system identification based on response curve fitting and the sensitivity of various model fitting precision to the model parameter perturbation are analyzed. Then, the credibility and efficiency of this kind of system identification approach based on various GAs is compared, and an extended GA which can improve the efficiency and credibility of system identification is proposed. Finally, the experimental result shows the sharpness of the improved GA
Keywords :
curve fitting; genetic algorithms; identification; sensitivity analysis; credibility; curve fitting; genetic algorithm; model parameter perturbation; sensitivity; system identification; Algorithm design and analysis; Curve fitting; Genetic algorithms; System identification;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862980
