基于遗传算法的离散和连续系统辨识

The Discrete and Continuous System Identification Based on Genetic Algorithms

阐述了遗传算法应用于离散和连续系统中直接辨识物理参数。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。

It has been shown that genetic algorithms, when applied in the discrete and continuous time system, can directly identify physical parameters. With the help of the method, the unbiased parameter estimntes of the system can be obtained when the output is corrupted by random noise unrelated with the input signals. The emulation results of identification to the discrete time system have shown its efficiency.