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Network Topologies and Network Interconnections [PDF]
, 2001 LonTalk supports a variety of network topologies by using different transceiver types and network interconnections. The goal of this chapter is to demonstrate the possibilities and methods at that topic. Corresponding to the LAN terminology the terms repeater, bridge, router and gateway are explained and their applicability to LonTalk is represented.
Dietmar Loy +2 more
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IEEE Transactions on Smart Grid, 2020
The energy management system becomes increasingly indispensable with the extensive penetration of new players in the distribution networks, such as renewable energy, storage, and controllable load.
Jiawei Zhang +3 more
semanticscholar +1 more source
The energy management system becomes increasingly indispensable with the extensive penetration of new players in the distribution networks, such as renewable energy, storage, and controllable load.
Jiawei Zhang +3 more
semanticscholar +1 more source
, 2017
This study investigates the finite-time consensus problem for a class of first-order non-linear multi-agent networks under directed network topology. A novel non-linear consensus protocol is proposed based on event-triggered strategy.
Yan Dong, Jincan Xian
semanticscholar +1 more source
This study investigates the finite-time consensus problem for a class of first-order non-linear multi-agent networks under directed network topology. A novel non-linear consensus protocol is proposed based on event-triggered strategy.
Yan Dong, Jincan Xian
semanticscholar +1 more source
Topology of the Fittest Transportation Network
Physical Review Letters, 2000The presence or absence of loops in the emergent transportation networks, that are characterized by a minimum overall cost, is shown to depend on the convexity of the cost function for the local transportation of material. Our results are directly applicable to a variety of situations across disciplines.
BANAVAR JR +4 more
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Dynamics and topology of idiotypic networks
Bulletin of Mathematical Biology, 1992Jerne's idiotypic network was previously modelled using simple proliferation dynamics and a homogeneous tree as a connection structure. The present paper studies analytically and numerically the genericity of the previous results when the network connection structure is randomized, e.g., with loops and varying connection intensities.
Gérard Weisbuch, Avidan U. Neumann
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Topologically Interpenetrating Elastometric Networks
Rubber Chemistry and Technology, 1970Abstract Several partially interpenetrating polymeric networks (IPN) were made by combining chemically different linear elastomers. The polymer combinations were deposited as films from aqueous emulsions made by mixing the individual emulsions in equal proportions. The films were crosslinked to form two superimposed networks.
Kurt C. Frisch +2 more
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Evolving Topologies for Network Synchronization
2010 Complexity in Engineering, 2010In this paper we describe possible decentralized strategies to adaptively synchronize complex networks of oscillators. Firstly, we review two adaptation strategies for the coupling gains in the network, and then we describe a completely decentralized strategy to select adaptively the network edges.
DE LELLIS, PIETRO +3 more
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Ecology Letters, 2015
More people and goods are moving further and more frequently via many different trade and transport networks under current trends of globalisation. These networks can play a major role in the unintended introduction of exotic species to new locations ...
N. C. Banks +3 more
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More people and goods are moving further and more frequently via many different trade and transport networks under current trends of globalisation. These networks can play a major role in the unintended introduction of exotic species to new locations ...
N. C. Banks +3 more
semanticscholar +1 more source
Neural Network Topology Optimization
2005The determination of the optimal architecture of a supervised neural network is an important and a difficult task. The classical neural network topology optimization methods select weight(s) or unit(s) from the architecture in order to give a high performance of a learning algorithm.
Attik, Mohammed +2 more
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