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题名/责任者:

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

版本说明:

1st ed. 2015.

出版发行项:

Cham : Springer International Publishing : Imprint: Springer, 2015.

ISBN:

9783319150109

其它标准号:

10.1007/978-3-319-15010-9

载体形态项:

XXXI, 187 p. 53 illus., 33 illus. in color. online resource.

主文献:

Springer Nature eBook

其他载体形态:

Printed edition: 9783319150116

其他载体形态:

Printed edition: 9783319150093

其他载体形态:

Printed edition: 9783319386003

丛编说明:

Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053

丛编统一题名:

Springer Theses, Recognizing Outstanding Ph.D. Research,

个人责任者:

Chapman, Airlie. author.

附加团体名称:

SpringerLink (Online service)

论题主题:

Physics.

论题主题:

Control engineering.

论题主题:

Applications of Graph Theory and Complex Networks.

论题主题:

Control and Systems Theory.

内容附注:

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.

摘要附注:

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.

电子资源:

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

豆瓣简介：