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(R) and Simulink(R) simulations to assist the reader in understanding and further developing such features are available for download.
