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Observability in Connected Strongly Regular Graphs and Distance Regular Graphs

机译:连通强正则图和距离正则图的可观察性

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This paper concerns the study of observability in consensus networks modeled with strongly regular graphs or distance regular graphs. We first give a Kalman-like simple algebraic criterion for observability in distance regular graphs. This criterion consists in evaluating the rank of a matrix built with the components of the Bose–Mesner algebra associated with the considered graph. Then, we define some bipartite graphs that capture the observability properties of the graph to be studied. In particular, we show that necessary and sufficient observability conditions are given by the nullity of the so-called local bipartite observability graph (respectively, the local unfolded bipartite observability graph) for strongly regular graphs (respectively, the distance regular graphs). When the nullity cannot be derived directly from the structure of these bipartite graphs, the rank of the associated bi-adjacency matrix enables evaluating observability. Eventually, as a byproduct of the main results, we show that nonobservability can be stated just by comparing the valency of the graph to be studied with a bound computed from the number of vertices of the graph and its diameter. Similarly, nonobservability can also be stated by evaluating the size of the maximum matching in the aforementioned bipartite graphs.
机译:本文涉及以强正则图或距离正则图为模型的共识网络中可观性的研究。我们首先给出距离正则图中可观察性的类似卡尔曼的简单代数准则。该标准包括评估使用与所考虑图形相关的Bose-Mesner代数的成分构建的矩阵的秩。然后,我们定义了一些二部图,它们捕获了要研究的图的可观察性。尤其是,我们表明,对于强正则图(分别为距离正则图),所谓的局部二分形可观察性图(分别为局部展开的二分形可观察性图)的无效给出了必要和充分的可观察性条件。当不能直接从这些二部图的结构中得出零值时,相关联的双邻接矩阵的等级可以评估可观察性。最终,作为主要结果的副产品,我们证明了仅通过将要研究的图的化合价与从图的顶点数及其直径计算出的界限进行比较,便可以说明不可观察性。同样,也可以通过评估上述二分图中最大匹配的大小来表示不可观察性。

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