Synopsis
The use of consensus networks in networking has received great attention due to its wide array of applications in fields such as robotics, transportation, sensor networking, communication networking, biology, and physics. The focus of this dissertation is to study a generalization of consensus problems whereby the weights of network edges are no longer static gains, but instead are dynamic systems, leading to the notion of dynamic consensus networks. We transform each concept of static graph theory into dynamic terms, out of which a generalized dynamic graph theory naturally emerges. Three different types of dynamic consensus networks are addressed based on node dynamics and network topology: (1) directed dynamic networks with integrator nodes and real-rational transfer function edges, (2) undirected dynamic networks with integrator nodes and strictly-positive-real transfer function edges, and (3) undirected dynamic networks with identical linear time invariant nodes and dynamic edges. We investigate stability and consensus for each type of dynamic consensus network and develop conditions under which dynamic networks achieve consensus.
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Building Efficiency Control; Dynamic Consensus Networks
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LAP LAMBERT Academic Publishing Apr 2018, 2018
ISBN 10: 3659975788
ISBN 13: 9783659975783
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The use of consensus networks in networking has received great attention due to its wide array of applications in fields such as robotics, transportation, sensor networking, communication networking, biology, and physics. The focus of this dissertation is to study a generalization of consensus problems whereby the weights of network edges are no longer static gains, but instead are dynamic systems, leading to the notion of dynamic consensus networks. We transform each concept of static graph theory into dynamic terms, out of which a generalized dynamic graph theory naturally emerges. Three different types of dynamic consensus networks are addressed based on node dynamics and network topology: (1) directed dynamic networks with integrator nodes and real-rational transfer function edges, (2) undirected dynamic networks with integrator nodes and strictly-positive-real transfer function edges, and (3) undirected dynamic networks with identical linear time invariant nodes and dynamic edges. We investigate stability and consensus for each type of dynamic consensus network and develop conditions under which dynamic networks achieve consensus. 196 pp. Englisch. Seller Inventory # 9783659975783
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Building Efficiency Control Dynamic Consensus Networks
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lashhab FadelDr. Fadel Lashhab was born in Gharian - Libya. He studied in USA at the Colorado School of Mines where he successfully completed two degrees: a Ms.C., and Ph.D. in Electrical Engineering. His Dissertation was successfull. Seller Inventory # 385771442
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Building Efficiency Control; Dynamic Consensus Networks
Published by
LAP LAMBERT Academic Publishing Apr 2018, 2018
ISBN 10: 3659975788
ISBN 13: 9783659975783
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The use of consensus networks in networking has received great attention due to its wide array of applications in fields such as robotics, transportation, sensor networking, communication networking, biology, and physics. The focus of this dissertation is to study a generalization of consensus problems whereby the weights of network edges are no longer static gains, but instead are dynamic systems, leading to the notion of dynamic consensus networks. We transform each concept of static graph theory into dynamic terms, out of which a generalized dynamic graph theory naturally emerges. Three different types of dynamic consensus networks are addressed based on node dynamics and network topology: (1) directed dynamic networks with integrator nodes and real-rational transfer function edges, (2) undirected dynamic networks with integrator nodes and strictly-positive-real transfer function edges, and (3) undirected dynamic networks with identical linear time invariant nodes and dynamic edges. We investigate stability and consensus for each type of dynamic consensus network and develop conditions under which dynamic networks achieve consensus.Books on Demand GmbH, Überseering 33, 22297 Hamburg 196 pp. Englisch. Seller Inventory # 9783659975783
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Building Efficiency Control; Dynamic Consensus Networks
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659975788
ISBN 13: 9783659975783
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The use of consensus networks in networking has received great attention due to its wide array of applications in fields such as robotics, transportation, sensor networking, communication networking, biology, and physics. The focus of this dissertation is to study a generalization of consensus problems whereby the weights of network edges are no longer static gains, but instead are dynamic systems, leading to the notion of dynamic consensus networks. We transform each concept of static graph theory into dynamic terms, out of which a generalized dynamic graph theory naturally emerges. Three different types of dynamic consensus networks are addressed based on node dynamics and network topology: (1) directed dynamic networks with integrator nodes and real-rational transfer function edges, (2) undirected dynamic networks with integrator nodes and strictly-positive-real transfer function edges, and (3) undirected dynamic networks with identical linear time invariant nodes and dynamic edges. We investigate stability and consensus for each type of dynamic consensus network and develop conditions under which dynamic networks achieve consensus. Seller Inventory # 9783659975783
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Building Efficiency Control; Dynamic Consensus Networks
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