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State Estimation for Stochastic FMII Model

机译:随机FMII模型的状态估计

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摘要

The present paper is concerned with state estimation of stochastic FMII model. First,stochastic FMII model is established by extending system matrices of the well-known Fornasini-Marchesini's second model into stochastic matrices. The elements of these stochastic matrices are second-order, weakly stationary white noise sequences.Second, linear unbiased full-order state estimation problem for stochastic FMII model is formulated. Our results can be seen asextensions of the deterministic case. Finally, an illustrative example is provided.
机译:本文涉及随机FMII模型的状态估计。首先,通过将著名的Fornasini-Marchesini第二种模型的系统矩阵扩展为随机矩阵来建立随机FMII模型。这些随机矩阵的元素是二阶的,弱平稳的白噪声序列。提出了用于随机FMII模型的第二个线性无偏全阶状态估计问题。我们的结果可以看作是确定性案例的扩展。最后,提供了说明性示例。

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