浮点数编码的遗传算法在系统辨识中的应用

The Application of Float-encoding Genetic Algorithm to System Identification

采用基于浮点数编码 (十进制编码 )的遗传算法 ,融合和改进了一些遗传操作 ,提出了一种系统辨识的方法并应用到在噪声背景下 ARMA模型系统的辨识 .仿真表明 ,该方法能有效地克服有色噪音的干扰 ,从而获得系统参数的无偏估计 ,在开口箱扬声器系统的低频参数测量中的应用也表明了该方法的有效性 .

In this paper, a new approach to identify ARMA model under noisy background is real- ized by using float-encoding genetic algorithms. With the aid of this method, unbiased parameters estimates of the system can be obtained when the output is corrupted by noise unrelated with the input signals. The effectiveness of the approach is testified by several simulations and the results show that it is more effective than least-square method. And it has been successfully applied in the measurement of the low frequency characteristic parameters of a vented-box loudspeaker system.