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Edge Centrality Matrix: Impact of Network Modification on Gramian Controllability Metrics

机译:边缘中心矩阵:网络修改对克禾速度指标的影响

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Due to recent technological advances, performance enhancement of complex networked control systems by edge modification done according to their importance in the network is becoming increasingly feasible. Unlike the nodal case, edge characterization with respect to a given performance metric is a rather unexplored research area. In this work, we seek to address this problem by proposing a novel Gramian-based edge centrality matrix which characterizes all the possible edges in the network with respect to physically realizable energy-based performance metrics. We rigorously prove the relationship of the various edge centrality matrix for different performance metrics with the gradient of the controllability Gramian with respect to edge weights. Notable feature of our proposed edge characterization is that it exhibits the contribution of individual inputs. We then analyze the edge centrality matrix for directed ring and line networks. Finally, through numerical examples, we validate a structural property of proposed edge centrality matrix and demonstrate its utility in network edge modification.
机译:由于最近的技术进步,通过边缘修改的复杂网络控制系统的性能提升根据他们在网络中的重要性变得越来越可行。与节点案例不同,关于给定性能度量的边缘表征是一个相当未探索的研究区域。在这项工作中,我们通过提出一种基于克朗尼亚的边缘中心矩阵来解决这个问题,该矩阵具有关于网络中的所有可能的边缘,其相对于物理可实现的基于能量的性能度量。我们严格证明了各种优势度量的各种性能矩阵与相对于边缘权重的梯度的不同性能度量的关系。我们提出的边缘表征的显着特征是它表现出各个输入的贡献。然后,我们分析了定向环和线路网络的边缘中心矩阵。最后,通过数值示例,我们验证了所提出的边缘中心矩阵的结构特性,并在网络边缘修改中展示其实用性。

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