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02949nam a22004575i 4500 |
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978-3-319-15010-9 |
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DE-He213 |
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20151028132347.0 |
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150210s2015 gw | s |||| 0|eng d |
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|a 9783319150109
|9 978-3-319-15010-9
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|a 10.1007/978-3-319-15010-9
|2 doi
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|a 621
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|a Chapman, Airlie.
|e author.
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|a Semi-Autonomous Networks
|h [electronic resource] :
|b Effective Control of Networked Systems through Protocols, Design, and Modeling /
|c by Airlie Chapman.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XXXI, 187 p. 53 illus., 33 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|a Nomenclature -- Acknowledgments -- Dedication -- Supervisor's Foreword -- Introduction -- Preliminaries -- Notation -- Network Topology -- Consensus Dynamics -- Advection on Graphs -- Beyond Linear Protocols -- Measures and Rewiring -- Distributed Online Topology Design for Disturbance Rejection -- Network Topology Design for UAV Swarming with Wind Gusts -- Cartesian Products of Z-Matrix Networks: Factorization and Interval Analysis -- On the Controllability and Observability of Cartesian Product Networks -- Strong Structural Controllability of Networked Dynamics -- Security and Infiltration of Networks: A Structural Controllability and Observability Perspective -- Conclusion and Future Work -- Appendix -- Single Anchor State Measures.
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|a This thesis analyzes and explores the design of controlled networked dynamic systems - dubbed semi-autonomous networks. The work approaches the problem of effective control of semi-autonomous networks from three fronts: protocols which are run on individual agents in the network; the network interconnection topology design; and efficient modeling of these often large-scale networks. The author extended the popular consensus protocol to advection and nonlinear consensus. The network redesign algorithms are supported by a game-theoretic and an online learning regret analysis.
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|a Physics.
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|a Control engineering.
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|a Physics.
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|a Complex Networks.
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|a Control.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319150093
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|u http://dx.doi.org/10.1007/978-3-319-15010-9
|z Full Text via HEAL-Link
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|a ZDB-2-PHA
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|a Physics and Astronomy (Springer-11651)
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