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Network-Based Analysis of Dynamical Systems: Methods for Controllability and Observability Analysis, and Optimal Sensor Placement (SpringerBriefs in Computer Science) free ebook download

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Model Engineering

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Catalogue

Author(s):	Daniel Leitold, Agnes Vathy-Fogarassy, Janos Abonyi

Date:	March 14, 2020	Format:	pdf	Language:	English	ISBN/ASIN:	3030364712
Pages:	110	OCR:		Quality:		ISBN13:
Uploader:	maveriks	Upload Date:	1/14/2020 9:04:49 AM

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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.

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2675054	Book	https://nitroflare.com/view/58DD7A9BEA10...		7.21	maveriks

Tags: Analysis Computer Controllability Dynamical Methods Network-Based Observability Optimal Placement Science

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Network-Based Analysis of Dynamical Systems: Methods for Controllability and Observability Analysis, and Optimal Sensor Placement (SpringerBriefs in Computer Science) free ebook download

Category: Model Engineering

Description: Click to see full description

Category:
Model Engineering