Matrix-Weighted Graphs Theory and Applications | 12.11 MB
Title: Matrix-Weighted Graphs
Author: Minh Hoang Trinh · Hyo-Sung Ahn
Category: Nonfiction, Science & Nature, Science, Other Sciences, System Theory, Mathematics, Discrete Mathematics, Technology, Electricity
Language: English | 371 Pages | ISBN: 352733291X
Description:
This book presents and systematizes results in matrix-weighted graphs, a powerful tool for modeling and analysis of multi-dimensional networked systems. The authors select topics addressing fundamental issues, which they arrange in four parts:
• graphs and networks with matrix weighting, showing how the matrix-weighted Laplacian forms the foundation for further theoretical developments;
• development of algorithms for various purposes from the determination of connectivity to quantitative measurement as a key pillar in network design and analysis;
• control-theoretic integration, providing a framework with the matrix-weighted consensus algorithm playing a central role and which coordinates interacting dynamical agents from each vertex in a cooperative and distributed manner; and
• applications of matrix-weighted graphs in network synchronization, social networks, networked input-output economics, network localization and formation control.
The theoretical results provide a firm foundation for researchers wishing to pursue the study of matrix-weighted networks and related topics and are accessible to graduate students with a background in engineering mathematics.
Many of the definitions, analyses, and designs in this book are accompanied by figures, examples and numerical simulations. MATLAB® and Simulink® simulations to assist the reader in understanding and further developing such features are available for download.
This book presents and systematizes results in matrix-weighted graphs, a powerful tool for modeling and analysis of multi-dimensional networked systems. The authors select topics addressing fundamental issues, which they arrange in four parts:
• graphs and networks with matrix weighting, showing how the matrix-weighted Laplacian forms the foundation for further theoretical developments;
• development of algorithms for various purposes from the determination of connectivity to quantitative measurement as a key pillar in network design and analysis;
• control-theoretic integration, providing a framework with the matrix-weighted consensus algorithm playing a central role and which coordinates interacting dynamical agents from each vertex in a cooperative and distributed manner; and
• applications of matrix-weighted graphs in network synchronization, social networks, networked input-output economics, network localization and formation control.
The theoretical results provide a firm foundation for researchers wishing to pursue the study of matrix-weighted networks and related topics and are accessible to graduate students with a background in engineering mathematics.
Many of the definitions, analyses, and designs in this book are accompanied by figures, examples and numerical simulations. MATLAB® and Simulink® simulations to assist the reader in understanding and further developing such features are available for download.
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