Model reduction methods for complex network systems

X Cheng, JMA Scherpen - Annual Review of Control, Robotics …, 2021 - annualreviews.org
Network systems consist of subsystems and their interconnections and provide a powerful
framework for the analysis, modeling, and control of complex systems. However, subsystems …

Projection-based model reduction of multi-agent systems using graph partitions

N Monshizadeh, HL Trentelman… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we establish a projection-based model reduction method for multiagent
systems defined on a graph. Reduced order models are obtained by clustering the vertices …

An overview of the consensus problem in the control of multi-agent systems

R Abdulghafor, S Shah Abdullah, S Turaev… - Automatika: časopis za …, 2018 - hrcak.srce.hr
Sažetak As a solution to the distributed multi-agent coordination, the problems of consensus
or agreement have been widely explored and studied in the literature. This document …

Clustering-based model reduction of networked passive systems

B Besselink, H Sandberg… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The model reduction problem for networks of interconnected dynamical systems is studied in
this paper. In particular, networks of identical passive subsystems, which are coupled …

Balanced truncation of networked linear passive systems

X Cheng, JMA Scherpen, B Besselink - Automatica, 2019 - Elsevier
This paper studies model order reduction of multi-agent systems consisting of identical
linear passive subsystems, where the interconnection topology is characterized by an …

Model reduction in the Loewner framework for second-order network systems on graphs

A Moreschini, JD Simard… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
This paper studies the model reduction problem in the Loewner framework for second-order
network systems evolving on graphs. The selection of particular sets of tangential …

Model reduction of multiagent systems using dissimilarity-based clustering

X Cheng, Y Kawano… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This technical note investigates a model reduction scheme for large-scale multiagent
systems. The studied system is composed of identical linear subsystems interconnected by …

Structure-preserving model reduction for port-Hamiltonian systems based on separable nonlinear approximation ansatzes

P Schulze - Frontiers in Applied Mathematics and Statistics, 2023 - frontiersin.org
We discuss structure-preserving model order reduction for port-Hamiltonian systems based
on a nonlinear approximation ansatz which is linear with respect to a part of the state …

Model Reduction of Linear Network Systems by Moment Matching and Optimization

I Necoara, TC Ionescu - IEEE Transactions on Automatic …, 2020 - ieeexplore.ieee.org
In this article, we compute the reduced-order stable approximation of a linear network
system, preserving the topology and optimal wrt the H 2-norm of the approximation error …

Structure-preserving model reduction of physical network systems by clustering

N Monshizadeh, A van der Schaft - 53rd IEEE conference on …, 2014 - ieeexplore.ieee.org
In this paper, we establish a method for model order reduction of a certain class of physical
network systems. The proposed method is based on clustering of the vertices of the …