Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Ahn, Hyo-Sung, Van Tran, Quoc, Trinh, Minh Hoang, Moore, Kevin L., Ye, Mengbin, Liu, Ji
Format: Preprint
Veröffentlicht: 2018
Schlagworte:
Online-Zugang:https://arxiv.org/abs/1807.04406
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866916450995798016
author Ahn, Hyo-Sung
Van Tran, Quoc
Trinh, Minh Hoang
Moore, Kevin L.
Ye, Mengbin
Liu, Ji
author_facet Ahn, Hyo-Sung
Van Tran, Quoc
Trinh, Minh Hoang
Moore, Kevin L.
Ye, Mengbin
Liu, Ji
contents To model the interdependent couplings of multiple topics, we develop a set of rules for opinion updates of a group of agents. The rules are used to design or assign values to the elements of interdependent weighting matrices. The cooperative and anti-cooperative couplings are modeled in both the inverse-proportional and proportional feedbacks. The behaviors of cooperative opinion dynamics are analyzed using a null space property of state-dependent matrix-weighted Laplacian matrices and a Lyapunov candidate. Various consensus properties of state-dependent matrix-weighted Laplacian matrices are predicted according to the intra-agent network topology and inter-dependency topical coupling topologies.
format Preprint
id arxiv_https___arxiv_org_abs_1807_04406
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Cooperative opinion dynamics on multiple interdependent topics: Modeling and analysis
Ahn, Hyo-Sung
Van Tran, Quoc
Trinh, Minh Hoang
Moore, Kevin L.
Ye, Mengbin
Liu, Ji
Systems and Control
To model the interdependent couplings of multiple topics, we develop a set of rules for opinion updates of a group of agents. The rules are used to design or assign values to the elements of interdependent weighting matrices. The cooperative and anti-cooperative couplings are modeled in both the inverse-proportional and proportional feedbacks. The behaviors of cooperative opinion dynamics are analyzed using a null space property of state-dependent matrix-weighted Laplacian matrices and a Lyapunov candidate. Various consensus properties of state-dependent matrix-weighted Laplacian matrices are predicted according to the intra-agent network topology and inter-dependency topical coupling topologies.
title Cooperative opinion dynamics on multiple interdependent topics: Modeling and analysis
topic Systems and Control
url https://arxiv.org/abs/1807.04406