Overview
- Nominated by the University of Washington as an outstanding Ph.D. thesis
- Demonstrates how a diffusion-based network can be controlled or observed by external entities in presence of randomness in the network’s structure or the underlying observation and control
- Presents results on the identification of dynamic networks, which involves observing the behavior of networks with the aim of identifying their internal structure
- Analyzes distributed optimization models and their convergence properties for energy management and optimization
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (12 chapters)
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Can One Hear the Shape of Coordination?
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Controllability Over Networks
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System Properties of Stochastic Networks
Keywords
About this book
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Controllability, Identification, and Randomness in Distributed Systems
Authors: Marzieh Nabi-Abdolyousefi
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-02429-5
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-02428-8Published: 24 February 2014
Softcover ISBN: 978-3-319-34853-7Published: 03 September 2016
eBook ISBN: 978-3-319-02429-5Published: 12 February 2014
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVII, 151
Number of Illustrations: 9 b/w illustrations, 30 illustrations in colour
Topics: Applications of Graph Theory and Complex Networks, Aerospace Technology and Astronautics, Energy Policy, Economics and Management, Control and Systems Theory