Search results for "Cooperative systems"

showing 2 items of 2 documents

Convergence Analysis of Distributed Set-Valued Information Systems

2016

This paper focuses on the convergence of information in distributed systems of agents communicating over a network. The information on which the convergence is sought is not rep- resented by real numbers, as often in the literature, rather by sets. The dynamics of the evolution of information across the net- work is accordingly described by set-valued iterative maps. While the study of convergence of set-valued iterative maps is highly complex in general, this paper focuses on Boolean maps, which are comprised of arbitrary combinations of unions, intersections, and complements of sets. For these important class of systems, we provide tools to study both global and local convergence. A distr…

boolean dynamic systems0209 industrial biotechnologyClass (set theory)Geographic information systemTheoretical computer scienceBinary encoding boolean dynamic systems con- sensus algorithms convergence cooperative systems distributed information systems set-valued dynamic maps.consensus algorithms02 engineering and technologyBoolean algebraSet (abstract data type)symbols.namesakecooperative systems020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaConvergence (routing)0202 electrical engineering electronic engineering information engineeringInformation systemElectrical and Electronic EngineeringMathematicsReal numberconvergencebusiness.industryset-valued dynamic mapsComputer Science Applications1707 Computer Vision and Pattern Recognitiondistributed information systemsComputer Science ApplicationsLocal convergenceControl and Systems EngineeringsymbolsBinary encoding; boolean dynamic systems; consensus algorithms; convergence; cooperative systems; distributed information systems; set-valued dynamic maps; Electrical and Electronic Engineering; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern RecognitionBinary encoding020201 artificial intelligence & image processingbusinessIEEE Transactions on Automatic Control
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Robust control in uncertain multi-inventory systems and consensus problems

2008

Abstract We consider a continuous time linear multi–inventory system with unknown demands bounded within ellipsoids and controls bounded within polytopes. We address the problem of ∈-stabilizing the inventory since this implies some reduction of the inventory costs. The main results are certain conditions under which ∈-stabilizability is possible through a saturated linear state feedback control. The idea of this approach is similar to the consensus problem solution for a network of continuous time dynamic agents, where each agent evolves according to a first order dynamics has bounded control and it is subject to unknown but bounded disturbances. In this context, we derive conditions under…

LMI; robust control; inventory systems; consensusMathematical optimizationMulti-agent systemMulti-agent systemsPolytopeContext (language use)EllipsoidCooperative systemsReduction (complexity)inventory systemsConsensusSettore ING-INF/04 - AutomaticaconsensusControl theoryBounded functionLMI robust control inventory systems consensusLMIRobust controlSettore MAT/09 - Ricerca OperativaDistributed control and estimationrobust controlCooperative systems; Distributed control and estimation; Multi-agent systemsMathematics
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