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Semi-Autonomous Networks : Effective Control of Networked Systems through Protocols, Design, and Modeling / by Airlie Chapman.

Springer Nature - Springer Physics and Astronomy (R0) eBooks 2015 English International Available online

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Format:
Book
Author/Creator:
Chapman, Airlie., Author.
Series:
Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053
Language:
English
Subjects (All):
Physics.
Automatic control.
Applications of Graph Theory and Complex Networks.
Control and Systems Theory.
Local Subjects:
Applications of Graph Theory and Complex Networks.
Control and Systems Theory.
Physical Description:
1 online resource (207 p.)
Edition:
1st ed. 2015.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2015.
Language Note:
English
Summary:
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.
Contents:
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.
Notes:
"Doctoral Thesis accepted by University of Washington."
Includes bibliographical references at the end of each chapters and index.
ISBN:
3-319-15010-3

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