摘要
基于遗传算法，采用改进的遗传算子，提出了一种辨识系统参数的方法．该方法能有效地克服有色噪声的干扰，获得系统参数的无偏估计．仿真结果说明了该方法的有效性．
Genetic Algorithms is a completely new global optimum algorithm. Based on the genetic algorithms, a method is presented to identify system parameters using the improved genetic operators. With the aid of the method, unbiased parameter estimates of the system can be obtained when the output is corrupted by random noise unrelated with the input signals. The simulation results show that this method is very efficient.
出处
《华中理工大学学报》
CSCD
北大核心
1998年第7期57-58,70,共3页
Journal of Huazhong University of Science and Technology
关键词
遗传算法
系统辨识
仿真
genetic algorithms
system identification
simulation
