小样本的线性连续时间系统的辨识
The Identification of Linear Continuous-Time System for Small Samples of Input-Output Data
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摘要: 本文简要地讨论了各种辨识线性连续时间系统的方法,并根据J.Aitchison提出的预报拟 合优度准则[1],建立了一种新的连续时间系统在小样本条件下的辨识方法.模拟仿真实验的 结果表明:当量测数据很少且噪声较大时,该方法明显优于其它方法.Abstract: In this paper, different methods for the identification of linear continuous-time systems are concisely discussed. Moreover, according to the criterion on goodness of prediction fit proposed by J. Aitchison [5], a new method for identifying continuous-time system limited to small samples is established. The results from simulation experiments indicate that when the data obtained are very few and quite noisy, this method is obviously superior to others.
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