具有部分不可观察影响的物体的识别

2018 Engineering and Telecommunication (EnT-MIPT) Pub Date : 2018-11-01 DOI:10.1109/EnT-MIPT.2018.00015

I. S. Durgaryan, F. Pashchenko, T. A. Pham, H.H. Do, A. Pashchenko

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引用次数: 0

摘要

研究了输入信号不完全可观测表示系统的不确定条件下的特征估计方法。频率传递函数和谱密度被用来识别系统。采用因子分析和递归卡尔曼滤波的方法恢复不可观测的影响，降低目标模型的维数。

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Identification of Objects with Partially Unobservable Influences

the methods of estimation of characteristics under conditions of uncertainty, systems of representation of incomplete observability of input signals are considered. Frequency transfer functions and spectral densities are used to identify the system. Methods of factor analysis and recurrent Kalman filter are used to restore unobservable effects and reduce the dimension of the object model.

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来源期刊

2018 Engineering and Telecommunication (EnT-MIPT)

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