Decentralized state estimation for large-scale spatially interconnected systems using a robust estimation framework

Huabo Liu, Haisheng Yu
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引用次数: 1

Abstract

A decentralized state estimator based on a robust estimation framework is derived for a spatially interconnected system constituting by many arbitrarily interconnected subsystems. It combines the robust estimation framework in [21] and the decentralized estimation design in [22] whose computation efficiently utilizes the block-diagonal characteristic of system parameter matrices and the sparseness of subsystem connection matrix. Numerical simulations show that the derived decentralized state estimator has nice estimation performance.
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基于鲁棒估计框架的大规模空间互联系统分散状态估计
针对由多个任意互联子系统构成的空间互联系统,提出了一种基于鲁棒估计框架的分散状态估计器。它结合了[21]中的鲁棒估计框架和[22]中的分散估计设计,其计算有效地利用了系统参数矩阵的块对角特性和子系统连接矩阵的稀疏性。数值仿真结果表明,该分散状态估计器具有良好的估计性能。
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