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Consistent Estimate of Innovations Model * * This work is supported by JSPS KAKENHI Grant Number 15K06146.

机译:创新模型的一致估算 * * 此工作受JSPS KAKENHI授权号15K06146支持。

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This paper proposes a numerical solution of the consistent estimates of Kalman gain and the covariance of the innovations process in the innovations model. The estimates are given as solutions of some BMI problem, so an iterative algorithm for solving the problem will be required. An algorithm for a class of BMI problems in which the objective function is non-increasing is applied for solving this problem. Explicit formulations of the estimation error in PO-MOESP method are also derived and shown to be consistent so that the consistent estimate of all the parameters in the innovations model are obtained.
机译:本文提出了创新模型中卡尔曼增益一致估计和创新过程协方差的数值解。给出的估计值是某些BMI问题的解决方案,因此将需要一个迭代算法来解决该问题。对于目标函数不增加的一类BMI问题,采用了一种算法来解决该问题。还推导了PO-MOESP方法中估计误差的明确公式,并证明是一致的,从而获得了创新模型中所有参数的一致估计。

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