[14] Reduced Order Modeling of Linear Consensus Networks using Weight Assignments
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发表刊物：in Proceedings of 18th European Control Conference, Napoli, Italy Jun. 2019.
摘要：This paper studies a model reduction method for linear consensus networks consisting of diffusively coupled single integrators. For a given graph clustering of an original complex network, we construct a simplified network consisting of fewer nodes, where the edge weights are to be determined. An optimal weight assignment procedure is proposed to select suitable edge weights of the reduced network, aiming for the minimum H2 approximation error between the original network and the reduced-order network model. The effectiveness of the proposed method is illustrated by means of an example.
合写作者：余兰林,Jacquelien M.A. Scherpen
第一作者：成晓东
论文类型：论文集
是否译文：否
发表时间：2019-06-25
收录刊物：EI
附件：