Actions for Network-Based Analysis of Dynamical Systems [electronic resource] : Methods for Controllability and Observability Analysis, and Optimal Sensor Placement

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Network-Based Analysis of Dynamical Systems [electronic resource] : Methods for Controllability and Observability Analysis, and Optimal Sensor Placement / by Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi

Author
Leitold, Dániel
Published
Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition
1st ed. 2020.
Physical Description
XIII, 110 pages 53 illustrations, 43 illustrations in color : online resource
Additional Creators
Vathy-Fogarassy, Ágnes, Abonyi, János, and SpringerLink (Online service)
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Series
Contents
1. Introduction -- 2. Structural Controllability and Observability Analysis in Complex Networks -- 3. Reduction of Relative Degree by Optimal Control and Sensor Placement -- 4. Applications to the analysis of Heat Exchanger Networks -- 5. The NOCAD MATLAB/Octave Toolbox Developed for the Analysis of Dynamical Systems -- 6. Summary.
Summary
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. .
Subject(s)
ISBN
9783030364724
Digital File Characteristics
text file PDF
Part Of
Springer eBooks
View MARC record | catkey: 29267666