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Semi-Autonomous Networks

Effective Control of Networked Systems through Protocols, Design, and Modeling

  • Book
  • © 2015

Overview

Authors:
  1. Airlie Chapman

    1. Department of Aeronautics and Astronautics, University of Washington, Seattle, USA

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  • Nominated by the University of Washington an outstanding Ph.D. thesis
  • Examines the role of network structure in system dynamics
  • Describes a new method to adaptively improve performance by rewiring and reweighting the network topology

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxxi
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  2. Beyond Linear Consensus

    1. Front Matter

      Pages 1-1
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    2. Advection on Graphs

      • Airlie Chapman
      Pages 3-16

    3. Beyond Linear Protocols

      • Airlie Chapman
      Pages 17-31

  3. Network Measures and Adaptive Topologies

    1. Front Matter

      Pages 33-33
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    2. Measures and Rewiring

      • Airlie Chapman
      Pages 35-63

    3. Distributed Online Topology Design for Disturbance Rejection

      • Airlie Chapman
      Pages 65-79

    4. Network Topology Design for UAV Swarming with Wind Gusts

      • Airlie Chapman
      Pages 81-106

  4. Cartesian Product Networks

    1. Front Matter

      Pages 107-107
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    2. Cartesian Products of Z-matrix Networks: Factorization and Interval Analysis

      • Airlie Chapman
      Pages 109-119

    3. Controllability and Observability of Cartesian Product Networks

      • Airlie Chapman
      Pages 121-132

  5. Structural Controllability

    1. Front Matter

      Pages 133-133
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    2. Strong Structural Controllability of Networked Dynamics

      • Airlie Chapman
      Pages 135-150

    3. Security and Infiltration of Networks: A Structural Controllability and Observability Perspective

      • Airlie Chapman
      Pages 151-158

    4. Conclusion and Future Work

      • Airlie Chapman
      Pages 159-169

  6. Back Matter

    Pages 171-187
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Aeronautics and Astronautics, University of Washington, Seattle, USA

    Airlie Chapman

About the author

Airlie Chapman received the Ph.D. degree from the William E. Boeing Aeronautics and Astronautics Department at the University of Washington, Seattle in 2013 and was simultaneously awarded the M.S. degree in mathematics. She received the B.S. degree in aeronautical (space) engineering and the M.S. degree in engineering research from the University of Sydney, Australia, in 2006 and 2008, respectively. She is currently a postdoctoral fellow at the University of Washington, Seattle. Dr. Chapman was awarded the College of Engineering Dean’s Fellowship at the University of Washington and is a two-time recipient of the Amelia Earhart Fellowship. Her research interests are networked dynamic systems and graph theory with applications to robotics and aerospace systems.

Bibliographic Information

  • Book Title: Semi-Autonomous Networks

  • Book Subtitle: Effective Control of Networked Systems through Protocols, Design, and Modeling

  • Authors: Airlie Chapman

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-319-15010-9

  • Publisher: Springer Cham

  • eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-15009-3Published: 10 March 2015

  • Softcover ISBN: 978-3-319-38600-3Published: 06 October 2016

  • eBook ISBN: 978-3-319-15010-9Published: 10 February 2015

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XXXI, 187

  • Number of Illustrations: 20 b/w illustrations, 33 illustrations in colour

  • Topics: Applications of Graph Theory and Complex Networks, Control and Systems Theory

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