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20172024
most citedModel Reduction Methods for Complex Network Systems

31 citations · 61 across the 16 of their papers we have counts for

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7 papers · 1 filter

math.OC2022

Clustering-Based Average State Observer Design for Large-Scale Network Systems

Muhammad Umar B. Niazi, Xiaodong Cheng, Carlos Canudas-de-Wit +1

This paper addresses the aggregated monitoring problem for large-scale network systems with a few dedicated sensors. Full state estimation of such systems is often infeasible due t…

math.OC20211 cited

Reduced-Order Modeling of Large-Scale Network Systems

Xiaodong Cheng, Jacquelien M. A. Scherpen, Harry L. Trentelman

Large-scale network systems describe a wide class of complex dynamical systems composed of many interacting subsystems. A large number of subsystems and their high-dimensional dyna…

math.OC202031 cited

Model Reduction Methods for Complex Network Systems

Xiaodong Cheng, Jacquelien M. A. Scherpen

Network systems consist of subsystems and their interconnections, and provide a powerful framework for analysis, modeling and control of complex systems. However, subsystems may ha…

math.OC2020

Passivity properties for regulation of DC networks with stochastic load demand

Amirreza Silani, Michele Cucuzzella, Jacquelien M. A. Scherpen +1

In this paper we present new (stochastic) passivity properties for Direct Current (DC) power networks, where the unknown and unpredictable load demand is modelled by a stochastic p…

math.OC2020

Reduced Order Modeling of Diffusively Coupled Network Systems: An Optimal Edge Weighting Approach

Xiaodong Cheng, Lanlin Yu, Dingchao Ren +1

This paper studies reduced-order modeling of dynamic networks with strongly connected topology. Given a graph clustering of an original complex network, we construct a quotient gra…

math.OC2019

Charging plug-in electric vehicles as a mixed-integer aggregative game

Carlo Cenedese, Filippo Fabiani, Michele Cucuzzella +3

We consider the charge scheduling coordination of a fleet of plug-in electric vehicles, developing a hybrid decision-making framework for efficient and profitable usage of the dist…