影响因子：6.12
发表刊物：IEEE Transactions on Automatic Control
项目来源：国家自然科学基金青年项目；合肥工业大学学术新人提升B计划
摘要：This paper studies reduced-order modeling of dynamic networks with strongly connected topology. Given a graph clustering of an original large-scale network, we construct a quotient graph with less number of vertices, where the edge weights are parameters to be determined. The model of a reduced network is thereby obtained with parameterized system matrices, and then an edge weighting procedure is devised, aiming to select an optimal set of edge weights to minimize the approximation error between the original and the reduced order network models in terms of H2-norm. The effectiveness of the proposed method is illustrated by a numerical example.
合写作者：余兰林,任定超,Jacquelien M.A. Scherpen
第一作者：成晓东
论文类型：期刊论文
是否译文：否
发表时间：2022-06-28
收录刊物：SCI