Search results for "Electric network topology"

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Diversity and complexity of microbial communities from a chlor-alkali tailings dump

2015

Abstract Revegetation of the tailings dumps produced by various industrial activities is necessary to prevent dust storms and erosion and represents a great challenge for ecological restoration. Little is known about the microbial colonisation and community structure of revegetated tailings following site exploitation. Here, we report the sequencing of 16S rRNA and internal transcribed spacer (ITS) fungal RNA gene amplicons from chlor-alkali residue and from an adjacent undisturbed soil to define the composition and assembly of the rhizosphere microbial communities. After quality filtering, a total of 72,373 and 89,929 bacterial sequences and 122,618 and 111,209 fungal sequences remained fo…

[SDV]Life Sciences [q-bio]Microbial networks010501 environmental sciences01 natural sciences[ SDE ] Environmental SciencesElectric network topologyHebelomaBacteria (microorganisms)ComputingMilieux_MISCELLANEOUS2. Zero hunger0303 health sciencesRhizosphereBar codingEcologyEcologySoil physico-chemical propertiesFungal communityRhizosphere microbial communitiesAnthropogenic soilsSoil typeTailingsTailings dumpSoil conservationBacterial communityGammaproteobacteriaComplex networksMicroorganismsSoil ScienceBiologyMicrobiology03 medical and health sciencesRevegetationMicrobial ecologyPseudomonasGammaproteobacteriaBotanyDominance (ecology)RevegetationEcological restoration030304 developmental biology0105 earth and related environmental sciencesBar-codingGeoporaBacteria15. Life on landbiology.organism_classificationMicrobial population biologyInternal transcribed spacers13. Climate actionRNA
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The linear saturated decentralized strategy for constrained flow control is asymptotically optimal

2013

We present an algorithm for constrained network flow control in the presence of an unknown demand. Our algorithm is decentralized in the sense that it is implemented by a team of agents, each controlling just the flow on a single arc of the network based only on the buffer levels at the nodes at the extremes of the arc, while ignoring the actions of other agents and the network topology. We prove that our algorithm is also stabilizing and steady-state optimal. Specifically, we show that it asymptotically produces the minimum-norm flow. We finally generalize our algorithm to networks with a linear dynamics and we prove that certain least-square optimality properties still hold.

Production-distribution systemsOptimizationMathematical optimizationRobust controlUncertain systemsMinimum normNetwork topologyMinimum norm flowControl theoryElectric network topologyConstrained flowUncertain systemsElectrical and Electronic EngineeringMathematicsFlow control (data)Network topologyAsymptotically optimalRobust control; OptimizationUncertain systemEthernet flow controlAsymptotically optimal Constrained flow Distributed flow control Minimum norm Network optimization Network topology Production-distribution systems Steady-state optimal; Algorithms Electric network topology Flow control Uncertain systems; OptimizationProduction-distribution systemFlow controlAsymptotically optimal algorithmControl and Systems EngineeringSteady-state optimalMinimum-cost flow problemDistributed flow controlRobust controlNetwork optimization; Distributed flow control; Production-distribution systems; Uncertain systems; Minimum norm flowNetwork optimizationAlgorithms
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