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Semi-autonomous networks[electronic ...
Chapman, Airlie.

 

  • Semi-autonomous networks[electronic resource] :effective control of networked systems through protocols, design, and modeling /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 629.8015118
    書名/作者: Semi-autonomous networks : effective control of networked systems through protocols, design, and modeling // by Airlie Chapman.
    作者: Chapman, Airlie.
    出版者: Cham : : Springer International Publishing :, 2015.
    面頁冊數: xxxi, 187 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Intelligent control systems - Mathematical models.
    標題: Network analysis (Planning)
    標題: Control theory.
    標題: Physics.
    標題: Complex Networks.
    標題: Control.
    ISBN: 9783319150109 (electronic bk.)
    ISBN: 9783319150093 (paper)
    內容註: 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.
    摘要、提要註: 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.
    電子資源: http://dx.doi.org/10.1007/978-3-319-15010-9
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