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Model reduction methods for complex network systems
Network systems consist of subsystems and their interconnections and provide a powerful
framework for the analysis, modeling, and control of complex systems. However, subsystems …
framework for the analysis, modeling, and control of complex systems. However, subsystems …
Projection-based model reduction of multi-agent systems using graph partitions
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 …
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
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 …
or agreement have been widely explored and studied in the literature. This document …
Clustering-based model reduction of networked passive systems
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 …
this paper. In particular, networks of identical passive subsystems, which are coupled …
Balanced truncation of networked linear passive systems
This paper studies model order reduction of multi-agent systems consisting of identical
linear passive subsystems, where the interconnection topology is characterized by an …
linear passive subsystems, where the interconnection topology is characterized by an …
Model reduction in the Loewner framework for second-order network systems on graphs
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 …
network systems evolving on graphs. The selection of particular sets of tangential …
Model reduction of multiagent systems using dissimilarity-based clustering
This technical note investigates a model reduction scheme for large-scale multiagent
systems. The studied system is composed of identical linear subsystems interconnected by …
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 …
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
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 …
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
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 …
network systems. The proposed method is based on clustering of the vertices of the …