基于遗传算法的系统在线辨识  

ON-LINE SYSTEM IDENTIFICATION BASED ON GENETIC ALGORITHMS

作　　者：黄炯[1] 邬永革[1] 李军[1] 王执铨[1] 

机构地区：[1]南京理工大学自动控制系,南京210094

出　　处：《信息与控制》1996年第3期171-176,共6页Information and Control

摘　　要：首先介绍了一种基于自然选择和自然遗传学机理的全局搜索学习算法——遗传算法,并讨论了它在系统在线辨识中的实现,仿真表明,遗传算法能在线辨识时滞并收敛到全局最优。Genetic algorithms based on natural selection and natural genetic mechanics are introduced first in this paper, and then its realization in on-line system identification is discussed. Simulation shows that GA can identify time delay as well as parameters and converge to globle optimization.

关 键 词：遗传算法 系统辨识 在线辨识 参数估计 

分 类 号：O212.1[理学—概率论与数理统计]