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Parameter identification for Wiener-finite impulse response system with output data of missing completely at random mechanism and time delay

机译:Wiener-Unitite脉冲响应系统的参数识别,其输出数据缺失在随机机制和时间延迟时

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In this paper, the parameter estimation issue of Wiener system with random time delay and missing output data is studied. The linear part of Wiener system is described by Finite Impulse Response (FIR) model. The mathematical formula of the Expectation Maximum algorithm to identify Wiener-FIR system that contains the random time delay and the nonlinear output data in missing completely at random mechanism is derived, which is never considered before. To obtain the unmeasurable intermediate variable in Wiener-FIR system, the idea of auxiliary model is adopted. The time delay and system parameters can be estimated simultaneously by this method. Numerical example and the identification of water tank system example are carried out, the effectiveness of the algorithm is proved.
机译:在本文中,研究了随机时间延迟和缺少输出数据的维纳系统的参数估计问题。 Wiener系统的线性部分由有限脉冲响应(FIR)模型描述。 导出了识别包含随机时间延迟的Wiener-FIR系统的预期最大算法的数学公式,并且在随机机制中缺少的非线性输出数据是从未考虑过的。 为了在维纳 - 冷杉系统中获取不可估量的中间变量,采用了辅助模型的思想。 该方法可以同时估计时间延迟和系统参数。 进行数值示例和水箱系统示例的识别,证明了算法的有效性。

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