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Semi-Autonomous Networks: Effective Control of Networked Systems through Protocols, Design, and Modeling (Springer Theses) - Tapa dura

Chapman, Airlie

 
9783319150093: Semi-Autonomous Networks: Effective Control of Networked Systems through Protocols, Design, and Modeling (Springer Theses)
Tapa dura
ISBN 10: 331915009X ISBN 13: 9783319150093
Editorial: Springer, 2015

Sinopsis

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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Acerca del autor

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.

De la contraportada

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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Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
331915009X
ISBN 13 
9783319150093
Encuadernación
Tapa dura
Número de páginas
220
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