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具有随机干扰的布尔控制网络的最优状态估计

Optimal State Estimation of Boolean Control Networks With Stochastic Disturbances.

作者信息

Guo Yuqian, Li Qunming, Gui Weihua

出版信息

IEEE Trans Cybern. 2020 Mar;50(3):1355-1359. doi: 10.1109/TCYB.2018.2885124. Epub 2018 Dec 19.

DOI:10.1109/TCYB.2018.2885124
PMID:30575558
Abstract

This paper presents an investigation of the optimal estimation of state for Boolean control networks subject to stochastic disturbances. The disturbances are modeled as independently and identically distributed processes that are assumed to be both mutually independent and independent of the current and the historical states. An iterative algorithm is proposed to calculate the conditional probability distribution of the state given the output measurements. This algorithm is applied to the problems of minimum mismatching estimation and maximum posterior estimation of the state. An example is provided to illustrate the proposed results.

摘要

本文研究了受随机干扰的布尔控制网络状态的最优估计问题。干扰被建模为独立同分布过程，假定其相互独立且与当前状态和历史状态无关。提出了一种迭代算法来计算给定输出测量值时状态的条件概率分布。该算法应用于状态的最小失配估计和最大后验估计问题。给出了一个例子来说明所提出的结果。

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