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Partial state observability recovering for linear systems by additional sensor implementation

机译:通过额外的传感器实现,可恢复线性系统的部分状态可观性

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This paper deals with the problem of additional sensor location in order to recover the observability of any given part of the state for structured linear systems. The proposed method is based on a graph-theoretic approach and assumes only the knowledge of the system's structure. We first provide new graphical necessary and sufficient conditions for the generic partial observability. Then, we study the location of additional sensors in order to satisfy the latter conditions. We provide necessary and sufficient requirements to be satisfied by these additional sensors and all their possible locations. The proposed solution is simple to implement because it is based on well-known algorithms, usually used for finding successors and predecessors of vertex subsets or on computation of maximal linkings in a digraph. All the used algorithms have polynomial complexity orders.
机译:本文讨论了附加传感器位置的问题,以恢复结构化线性系统状态的任何给定部分的可观察性。所提出的方法基于图论方法,并且仅假设系统结构的知识。我们首先为通用的部分可观察性提供新的图形必要条件和充分条件。然后,我们研究其他传感器的位置,以满足后一种条件。我们提供了这些附加传感器及其所有可能的位置要满足的必要和充分的要求。所提出的解决方案易于实现,因为它基于众所周知的算法,通常用于查找顶点子集的后继者和前任者,或者用于计算有向图中的最大链接。所有使用的算法都具有多项式复杂度阶数。

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