Search results for " Rob"

showing 10 items of 689 documents

The price of multiobjective robustness : Analyzing solution sets to uncertain multiobjective problems

2021

Defining and finding robust efficient solutions to uncertain multiobjective optimization problems has been an issue of growing interest recently. Different concepts have been published defining what a “robust efficient” solution is. Each of these concepts leads to a different set of solutions, but it is difficult to visualize and understand the differences between these sets. In this paper we develop an approach for comparing such sets of robust efficient solutions, namely we analyze their outcomes under the nominal scenario and in the worst case using the upper set-less order from set-valued optimization. Analyzing the set of nominal efficient solutions, the set of minmax robust efficient …

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputer sciencemultiobjective robust optimizationSolution setpäätöksentukijärjestelmätManagement Science and Operations ResearchMinimaxmonitavoiteoptimointiepävarmuusIndustrial and Manufacturing Engineeringdecision makingRobustness (computer science)Modeling and Simulationuncertaintyprice of robustness
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Robust control of uncertain multi-inventory systems via linear matrix inequality

2008

We consider a continuous time linear multi inventory system with unknown demands bounded within ellipsoids and controls bounded within ellipsoids or 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. All the results are based on a Linear Matrix Inequalities (LMIs) approach and on some recent techniques for the modeling and analysis of polytopic systems with saturations.

Mathematical optimizationLinear Matrix InequalitiesPolytopeDynamical Systems (math.DS)stock control93xxcontinuous systems linear matrix inequalities linear systems manufacturing systems robust control state feedback stock control uncertain systemsimpulse control inventory control hybrid systemsSettore ING-INF/04 - AutomaticaControl theoryFOS: Mathematicsmanufacturing systemsMathematics - Dynamical Systemslinear matrix inequalitiesstate feedbackTime complexityMathematics - Optimization and ControlInventory systemsMathematicsInventory controlLinear Matrix Inequalities; Inventory systemsLinear systemlinear systemsLinear matrix inequality93Cxx;93xxLinearity93Cxxhybrid systemsEllipsoidComputer Science Applicationsimpulse control; inventory control; hybrid systemsuncertain systemsControl and Systems EngineeringOptimization and Control (math.OC)Control systemBounded functioncontinuous systemsPerpetual inventorycontinuous systems; linear matrix inequalities; linear systems; manufacturing systems; robust control; state feedback; stock control; uncertain systemsinventory controlRobust controlSettore MAT/09 - Ricerca Operativarobust controlimpulse control
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Revenue-based adaptive deficit round robin

2005

This paper presents an adaptive resource allocation model that is based on the DRR queuing policy. The model ensures QoS requirements and tries to maximize a service provider's revenue by manipulating quantum values of the DRR scheduler. To calculate quantum values, it is proposed to use the revenue criterion that controls the allocation of free resources. The simulation considers a single node with the implemented model that serves several service classes with different QoS requirements and traffic characteristics. It is shown that the total revenue can be increased due to the allocation of unused resources to more expensive service classes. At the same time, bandwidth and delay guarantees…

Mathematical optimizationService qualityQueueing theoryComputer scienceresource allocation modelQuality of serviceTotal revenueQoSDeficit round robinService providerComputer securitycomputer.software_genreScheduling (computing)DRR queuingRevenueResource allocationcomputerQueue
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Average flow constraints and stabilizability in uncertain production-distribution systems

2009

We consider a multi-inventory system with controlled flows and uncertain demands (disturbances) bounded within assigned compact sets. The system is modelled as a first-order one integrating the discrepancy between controlled flows and demands at different sites/nodes. Thus, the buffer levels at the nodes represent the system state. Given a long-term average demand, we are interested in a control strategy that satisfies just one of two requirements: (i) meeting any possible demand at each time (worst case stability) or (ii) achieving a predefined flow in the average (average flow constraints). Necessary and sufficient conditions for the achievement of both goals have been proposed by the aut…

Mathematical optimizationStochastic stabilityControl and OptimizationComputer scienceSCHEDULING POLICIESUNKNOWN INPUTSInventory control; Robust controlRobust controlUncertain systemsUncertain demandsManagement Science and Operations ResearchControl strategies; Inventory systems; Uncertain demands; Worst caseStability (probability)Distribution systemMULTI-INVENTORY SYSTEMSControl theoryProduction (economics)Inventory control Robust control Stochastic stabilityAverage costInventory systemsMathematicsInventory controlStochastic processControl strategiesApplied MathematicsWorst caseNETWORKSControllabilityFlow (mathematics)Bounded functionProduction controlRobust controlSettore MAT/09 - Ricerca OperativaMANUFACTURING SYSTEMS
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Decision making in multiobjective optimization problems under uncertainty: balancing between robustness and quality

2018

As an emerging research field, multiobjective robust optimization employs minmax robustness as the most commonly used concept. Light robustness is a concept in which a parameter, tolerable degradations, can be used to control the loss in the objective function values in the most typical scenario for gaining in robustness. In this paper, we develop a lightly robust interactive multiobjective optimization method, LiRoMo, to support a decision maker to find a most preferred lightly robust efficient solution with a good balance between robustness and the objective function values in the most typical scenario. In LiRoMo, we formulate a lightly robust subproblem utilizing an achievement scalarizi…

Mathematical optimizationdecision supportOptimization problemmultiobjective robust optimizationComputer sciencepäätöksenteko0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchMulti-objective optimizationoptimointiRobustness (computer science)0502 economics and business050210 logistics & transportation021103 operations research05 social scienceslight robust efficiencyRobust optimizationinteractive methodshandling uncertaintyDecision makerMinimaxmonitavoiteoptimointiepävarmuusVisualizationMultiobjective optimization problemtrade-off between robustness and qualityBusiness Management and Accounting (miscellaneous)OR Spectrum
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Robert E. Lee in Love and War written by John Jakes : comparison with accounts by historians Foote, Catton and McPherson

2005

McPherson James MLove and warFoote ShelbyAmerican Civil WarJakes JohnLee Robert EPohjois-Amerikan sisällissotaAmerican historyCatton Brucenew historicismcomparative study
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A cooperative mobile robot and manipulator system (Co-MRMS) for transport and lay-up of fibre plies in modern composite material manufacture

2021

AbstractComposite materials are widely used in industry due to their light weight and specific performance. Currently, composite manufacturing mainly relies on manual labour and individual skills, especially in transport and lay-up processes, which are time consuming and prone to errors. As part of a preliminary investigation into the feasibility of deploying autonomous robotics for composite manufacturing, this paper presents a case study that investigates a cooperative mobile robot and manipulator system (Co-MRMS) for material transport and composite lay-up, which mainly comprises a mobile robot, a fixed-base manipulator and a machine vision sub-system. In the proposed system, marker-base…

Mean squared errorOrientation (computer vision)Machine visionComputer sciencebusiness.industryMechanical EngineeringComposite numberTransport and lay-upRoboticsMobile robotMachine visionIndustrial and Manufacturing EngineeringSerial manipulatorComputer Science ApplicationsControl and Systems EngineeringCooperative robotsTA174Composite material manufacturingArtificial intelligenceComposite materialEngineering design processbusinessSoftware
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Comprehensive simulation of cooperative robotic system for advanced composite manufacturing : a case study

2021

Composite materials are widely used because of their light weight and high strength properties. They are typically made up of multi-directional layers of high strength fibres, connected by a resin. The manufacturing of composite parts is complex, time-consuming and prone to errors. This work investigates the use of robotics in the field of composite material manufacturing, which has not been well investigated to date (particularly in simulation). Effective autonomous material transportation, accurate localization and limited material deformation during robotic grasping are required for optimum placement and lay-up. In this paper, a simulation of a proposed cooperative robotic system, which …

Mean squared errorbusiness.industryMachine visionComputer scienceOrientation (computer vision)Mobile robotRoboticsRoboticsTSField (computer science)Composite manufacturingPosition (vector)Artificial intelligencePhysics engineComposite materialbusinessSimulation
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Educational Robotics for Reducing Early School Leaving from the Perspective of Sustainable Education

2019

Early School Leaving (ESL) is a problem for many countries and some have pledged to reduce the number of children leaving school early to below 10% by 2020. Between October 2015 and September 2017, Italy, Greece and Latvia implemented an Erasmus+ project that used robotics to reduce the risk of ESL. The effectiveness of the teaching and learning materials developed during the project and the pedagogical strategies used were examined in groups at high-risk of ESL and in the work of the teachers participating in the project. In this paper, the use of robotics to reduce the risks of early school leaving is analysed from the perspective of sustainable education. Mixed methods were used to evalu…

Medical educationWork (electrical)Educational roboticsbusiness.industryPerspective (graphical)RoboticsArtificial intelligenceSociologyAction researchbusinessErasmus+
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Geochemical Interactions of Plutonium with Opalinus Clay Studied by Spatially Resolved Synchrotron Radiation Techniques

2017

Plutonium plays an important role within nuclear waste materials because of its long half-life and high radiotoxicity. The aim of this study was to investigate with high spatial resolution the reactivity of the more oxidized forms of Pu(V,VI) within Opalinus Clay (OPA) rock, a heterogeneous, natural argillaceous rock considered as a potential repository host. A combination of synchrotron based X-ray microprobe and bulk techniques was used to study the spatial distribution and molecular speciation of Pu within OPA after diffusion and sorption processes. Microscopic chemical images revealed a pronounced impact of geochemical heterogeneities concerning the reactivity of the natural barrier mat…

MicroprobeAbsorption spectroscopyMineralogychemistry.chemical_elementSynchrotron radiation010501 environmental sciences010403 inorganic & nuclear chemistry01 natural scienceslaw.inventionPlutonium opalinus clay sorption XAS ROBLlawEnvironmental ChemistryDiffusion (business)0105 earth and related environmental sciencesChemistryRadioactive wasteSorptionGeneral ChemistryPlutoniumSynchrotron0104 chemical sciencesPlutoniumRadioactive WasteClayAluminum SilicatesSynchrotronsEnvironmental Science & Technology
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