Impact Factor:6.12
Journal:IEEE Transactions on Automatic Control
Funded by: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
Abstract: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.
Co-author:余兰林,任定超,Jacquelien M.A. Scherpen
First Author:成晓东
Indexed by:Journal paper
Translation or Not:no
Date of Publication:2022-06-28
Included Journals:SCI