Controllable Subspaces in Structured Networks of Hierarchical Directed Acyclic Graphs: Controllability of Individual Nodes

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Main Authors: Park, Nam-Jin, Kim, Yeong-Ung, Oh, Koog-Hwan, Ahn, Hyo-Sung
Format: Preprint
Published: 2024
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author Park, Nam-Jin
Kim, Yeong-Ung
Oh, Koog-Hwan
Ahn, Hyo-Sung
author_facet Park, Nam-Jin
Kim, Yeong-Ung
Oh, Koog-Hwan
Ahn, Hyo-Sung
contents Within the context of structured networks, this paper introduces the concept of the Fixed Strongly Structurally Controllable Subspace (FSSCS), enabling a comprehensive characterization of controllable subspaces. From a graph-theoretical viewpoint, the paper defines Fixed Strongly Structurally Controllable (FSSC) nodes based on the FSSCS concept and establishes the necessary and sufficient conditions for their identification. This paper proposes a method for determining the exact dimension of the Strongly Structurally Controllable Subspace (SSCS) in hierarchical directed acyclic graphs, employing a blend of graph-theoretical approaches and controllability matrix analyses. This approach not only facilitates the identification of FSSC nodes but also enhances our understanding of the robustness of node controllability against variations in network parameters within structured networks, marking a significant advancement in the field of strong structural controllability of individual nodes.
format Preprint
id arxiv_https___arxiv_org_abs_2403_01184
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Controllable Subspaces in Structured Networks of Hierarchical Directed Acyclic Graphs: Controllability of Individual Nodes
Park, Nam-Jin
Kim, Yeong-Ung
Oh, Koog-Hwan
Ahn, Hyo-Sung
Algebraic Topology
Within the context of structured networks, this paper introduces the concept of the Fixed Strongly Structurally Controllable Subspace (FSSCS), enabling a comprehensive characterization of controllable subspaces. From a graph-theoretical viewpoint, the paper defines Fixed Strongly Structurally Controllable (FSSC) nodes based on the FSSCS concept and establishes the necessary and sufficient conditions for their identification. This paper proposes a method for determining the exact dimension of the Strongly Structurally Controllable Subspace (SSCS) in hierarchical directed acyclic graphs, employing a blend of graph-theoretical approaches and controllability matrix analyses. This approach not only facilitates the identification of FSSC nodes but also enhances our understanding of the robustness of node controllability against variations in network parameters within structured networks, marking a significant advancement in the field of strong structural controllability of individual nodes.
title Controllable Subspaces in Structured Networks of Hierarchical Directed Acyclic Graphs: Controllability of Individual Nodes
topic Algebraic Topology
url https://arxiv.org/abs/2403.01184