Title :
Reduced order modeling in time-frequency H∞-norm mix-criterion: genetic algorithms approach
Author :
Wu, Tao ; Yu, Junqi ; Huang, Yongxuan ; Hu, Bosheng
Author_Institution :
Syst. Eng. Inst., Xi´´an Jiaotong Univ., China
fDate :
6/22/1905 12:00:00 AM
Abstract :
The reduced order modeling in time-frequency least squares mix-criterion is proposed, and the method based on genetic algorithms is obtained to resolve it. This new method avoids the shortfall of the traditional methods, and the characteristics of the reduced order model obtained are ideal. An example shows that this method is better than other available methods
Keywords :
H∞ control; genetic algorithms; least squares approximations; reduced order systems; time-frequency analysis; H∞-norm; SISO systems; genetic algorithms; least squares; reduced order modeling; time-frequency; Control theory; Fractals; Genetic algorithms; Genetic engineering; Least squares approximation; Least squares methods; Reduced order systems; Systems engineering and theory; Time frequency analysis; Transfer functions;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.860040
