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Cooperative ℋ-estimation for large-scale interconnected linear systems

机译:大规模互联线性系统的合作ℋ估计

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In this paper, a synthesis method for distributed estimation is presented, which is suitable for dealing with large-scale interconnected linear systems with disturbance. The main feature of the proposed method is that local estimators only estimate a reduced set of state variables and their complexity does not increase with the size of the system. Nevertheless, the local estimators are able to deal with lack of local detectability. Moreover, the estimators guarantee ℋ-performance of the estimates with respect to model and measurement disturbances.
机译:本文提出了一种用于分布式估计的综合方法,该方法适用于处理具有干扰的大规模互连线性系统。所提出的方法的主要特征是局部估计器仅估计状态变量的减少集合,并且它们的复杂度不会随着系统的大小而增加。尽管如此,本地估计量仍能够解决本地可检测性不足的问题。而且,估计器保证了关于模型和测量干扰的估计性能。

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