SpringerBriefs in Computer Science: Methods for Controllability and Observability Analysis, and Optimal Sensor Placement

Leitold, Dániel; Vathy-Fogarassy, Ágnes; Abonyi, János

This book explores the key idea that the dynamical properties of complex systems can be determined by effectively calculating specific structural features using network science-based analysis. Furthermore, it argues that certain dynamical behaviours can stem from the existence of specific motifs in the network representation.

Over the last decade, network science has become a widely applied methodology for the analysis of dynamical systems. Representing the system as a mathematical graph allows several network-based methods to be applied, and centrality and clustering measures to be calculated in order to characterise and describe the behaviours of dynamical systems.

The applicability of the algorithms developed here is presented in the form of well-known benchmark examples. The algorithms are supported by more than 50 figures and more than 170 references; taken together, they provide a good overview of the current state of network science-based analysis of dynamical systems, and suggest further reading material for researchers and students alike. The files for the proposed toolbox can be downloaded from a corresponding website.

Details

Published by: Springer

Publication Date: 2020-01-14

Format: Paperback

ISBN-13: 9783030364717

DOI: 10.1007/978-3-030-36472-4

Dimensions: 235cm x155cm

Pages: 110