Search results for "Application"

showing 10 items of 5559 documents

Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

0209 industrial biotechnologyStochastic stabilityMathematical optimizationCollective behaviorTechnologyComputer sciencePopulationcontrol designcrowd-averse robust mean-field games state space extension dynamic agents linear stochastic differential equation Brownian motion adversarial disturbance cost functional cross-coupling mean-field term collective behavior stock market application production engineering example dynamic demand management problem robust mean-field game approximation error stochastic stability microscopic dynamics macroscopic dynamicscontrol engineering02 engineering and technology01 natural sciencesStochastic differential equationoptimal control020901 industrial engineering & automationQuadratic equationAutomation & Control SystemsEngineeringClosed loop systemsSettore ING-INF/04 - AutomaticaApproximation errorRobustness (computer science)Control theory0102 Applied MathematicsState space0101 mathematicsElectrical and Electronic EngineeringeducationBrownian motioneducation.field_of_studyScience & TechnologyStochastic process010102 general mathematicsRelaxation (iterative method)Engineering Electrical & ElectronicOptimal controlComputer Science Applications0906 Electrical and Electronic EngineeringIndustrial Engineering & AutomationMean field theoryControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa0913 Mechanical Engineering
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On the complete interface development of Al/Cu magnetic pulse welding via experimental characterizations and multiphysics numerical simulations

2021

Abstract A complex Al/Cu magnetic pulse welding interface is systematically investigated using experimental characterizations and numerical simulations. A Coupled electromagnetic-mechanical simulation is proposed to compute the impact velocity and impact angle along the entire interface. This model allows to further understand the formation mechanism of various interface characteristics during MPW. The results revealed that the impact velocity gradually decreases in conjunction with the gradual increase of the impact angle. These simulations elucidate the experimentally observed successive interface morphologies, i.e., the unwelded zone, vortex zone, intermediate (IM) layers and wavy interf…

0209 industrial biotechnologyVoid (astronomy)Materials scienceMultiphysicsFOS: Physical sciences02 engineering and technologyWeldingApplied Physics (physics.app-ph)Industrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automation0203 mechanical engineeringlawModelling and SimulationCondensed Matter - Materials ScienceDeformation (mechanics)Metals and AlloysMaterials Science (cond-mat.mtrl-sci)Physics - Applied PhysicsMechanicsVortexComputer Science ApplicationsWavelength020303 mechanical engineering & transportsAmplitudeMagnetic pulse weldingModeling and SimulationCeramics and Composites
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An insight into the electrical energy demand of friction stir welding processes: the role of process parameters, material and machine tool architectu…

2018

The manufacturing sector accounts for a high share of global electrical energy consumption and CO 2 emissions, and therefore, the environmental impact of production processes is being more and more investigated. An analysis of power and energy consumption in friction stir welding processes can contribute to the characterization of the process from a new point of view and also provide useful information about the environmental impact of the process. An in-depth analysis of electrical energy demand of friction stir welding is here proposed. Different machine tool architectures, including an industrial dedicated machine, have been used to weld aluminum and steel sheets under different process …

0209 industrial biotechnologybusiness.product_categoryFriction stir weldingComputer scienceSustainable manufacturing02 engineering and technologyWeldingIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationlawFriction stir weldingProcess engineeringSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionebusiness.industryElectric potential energyMechanical EngineeringProcess (computing)Computer Science Applications1707 Computer Vision and Pattern RecognitionEnergy consumptionComputer Science ApplicationsMachine toolPower (physics)Energy efficiencyControl and Systems EngineeringbusinessPower studySoftwareEfficient energy use
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New delay-dependent stability of Markovian jump neutral stochastic systems with general unknown transition rates

2015

This paper investigates the delay-dependent stability problem for neutral Markovian jump systems with generally unknown transition rates GUTRs. In this neutral GUTR model, each transition rate is completely unknown or only its estimate value is known. Based on the study of expectations of the stochastic cross-terms containing the integral, a new stability criterion is derived in terms of linear matrix inequalities. In the mathematical derivation process, bounding stochastic cross-terms, model transformation and free-weighting matrix are not employed for less conservatism. Finally, an example is provided to demonstrate the effectiveness of the proposed results.

0209 industrial biotechnologygeneral uncertain transition rateStability criterionModel transformationDelay-dependent stability02 engineering and technologyTransition rate matrixStability (probability)neutral-type stochastic systemTheoretical Computer ScienceDelay dependentMatrix (mathematics)Markovian jump020901 industrial engineering & automationControl theoryBounding overwatch0202 electrical engineering electronic engineering information engineeringApplied mathematicsMathematicscomputer.programming_languageDelay-dependent stability; neutral-type stochastic system;Markovian switching; general uncertain transition rate; mean-square exponentially stable; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionMarkovian switchingComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsControl and Systems Engineeringmean-square exponentially stable020201 artificial intelligence & image processingcomputerInternational Journal of Systems Science
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A Hybrid Control Strategy for Quadratic Boost Converters with Inductor Currents Estimation

2020

International audience; This paper deals with a control strategy for a DC-DC quadratic boost converter. In particular, a hybrid control scheme is proposed to encompass a control law and an observer for the estimation of the system states, based only on the measurements of the input and output voltages. Differently from classical control methods, where the controller is designed from a small-signal model, here the real model of the system is examined without considering the average values of the discrete variables. Using hybrid dynamical system theory, asymptotic stability of a neighborhood of the equilibrium point is established, ensuring practical stability of the origin, which contains es…

0209 industrial biotechnologyhybrid dynamical systemsObserver (quantum physics)Computer science02 engineering and technologyDynamical systemStability (probability)020901 industrial engineering & automationQuadratic equationExponential stabilitySettore ING-INF/04 - AutomaticaControl theoryswitching systems[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic Engineeringlinear matrix inequalitiesEquilibrium pointApplied Mathematics020208 electrical & electronic engineeringobserverConvertersComputer Science ApplicationsHybrid dynamical systems Linear matrix inequalities Observer Quadratic boost converter Switching systemsControl and Systems EngineeringQuadratic boost converter
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Dissipativity-Based Small-Gain Theorems for Stochastic Network Systems

2016

In this paper, some small-gain theorems are proposed for stochastic network systems which describe large-scale systems with interconnections, uncertainties and random disturbances. By the aid of conditional dissipativity and showing times of stochastic interval, small-gain conditions proposed for the deterministic case are extended to the stochastic case. When some design parameters are tunable in practice, we invaginate a simpler method to verify small-gain condition by selecting one subsystem as a monitor. Compared with the existing results, the existence-and-uniqueness of solution and ultimate uniform boundedness of input are removed from requirements of input-to-state stability and smal…

0209 industrial biotechnologystochastic systemsComputer Science Applications1707 Computer Vision and Pattern Recognition02 engineering and technologyInterval (mathematics)Stability (probability)Electronic mailComputer Science Applicationsinput-to-state stabilityDissipativity; input-to-state stability; network systems; stochastic systems; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringNonlinear system020901 industrial engineering & automationnetwork systemsControl and Systems EngineeringControl theoryControl system0202 electrical engineering electronic engineering information engineeringUniform boundedness020201 artificial intelligence & image processingStochastic optimizationElectrical and Electronic EngineeringDissipativityMathematicsIEEE Transactions on Automatic Control
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Hard material small-batch industrial machining robot

2018

Abstract Hard materials can be cost effectively machined with standard industrial robots by enhancing current state-of-the-art technologies. It is demonstrated that even hard metals with specific robotics-optimised novel hard-metal tools can be machined by standard industrial robots with an improved position-control approach and enhanced compliance-control functions. It also shows that the novel strategies to compensate for elastic robot errors, based on models and advanced control, as well as the utilisation of new affordable sensors and human-machine interfaces, can considerably improve the robot performance and applicability of robots in machining tasks. In conjunction with the developme…

0209 industrial biotechnologyta213RobotComputer scienceGeneral MathematicsSmall-batch02 engineering and technologyMachiningIndustrial and Manufacturing EngineeringManufacturing engineeringComputer Science ApplicationsHard metalsCompliance control020901 industrial engineering & automationMachiningControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringRobot020201 artificial intelligence & image processingIndustrialMotion planningPath planningSoftwareHMIRobotics and Computer-Integrated Manufacturing
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A model for torque losses in variable displacement axial piston motors

2018

This paper includes a comparison of earlier presented models for torque losses in hydraulic motors and several proposed models that all rely on data typically available for a system engineer. The new models and the old ones are compared. The new models are all based on a model developed by Jeong 2007 with an expansion that include variable displacement. All of the new models yield very good accuracy down to approximately 50% of maximum displacement and down to approximately 15% of maximum speed. In these operational ranges the deviation in torque is less than 1%. The main purpose of the new models is to facilitate simulations of hydraulically actuated winches with a balance between accuracy…

0209 industrial biotechnologytorque loss020208 electrical & electronic engineeringHydraulics02 engineering and technologyMechanicsVariable displacementlcsh:QA75.5-76.95Computer Science Applicationslaw.inventionPiston020901 industrial engineering & automationBosch RexrothControl and Systems EngineeringlawModeling and Simulationaxial piston motor0202 electrical engineering electronic engineering information engineeringTorquewinch drivelcsh:Electronic computers. Computer scienceoffshore knuckle boom cranesSoftwareGeologyModeling, Identification and Control
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Transformation of Construction Cement to a Self-Healing Hybrid Binder

2019

A new biomimetic strategy to im prove the self-healing properties of Portland cement is presented that is based on the application of the biogenic inorganic polymer polyphosphate (polyP), which is used as a cement admixture. The data show that synthetic linear polyp, with an average chain length of 40, as well as natural long-chain polyP isolated from soil bacteria, has the ability to support self-healing of this construction material. Furthermore, polyP, used as a water-soluble Na-salt, is subject to Na+/Ca2+ exchange by the Ca2+ from the cement, resulting in the formation of a water-rich coacervate when added to the cement surface, especially to the surface of bacteria-containing cement/c…

0211 other engineering and technologies02 engineering and technologylaw.inventionlcsh:Chemistrychemistry.chemical_compoundBiomimetic MaterialsPolyphosphateslaw021105 building & constructionComposite materiallcsh:QH301-705.5SpectroscopycoacervateCoacervatesoil bacteriaGeneral Medicine021001 nanoscience & nanotechnology6. Clean waterComputer Science Applicationsmicrocapsulessurgical procedures operative0210 nano-technologyinorganic polyphosphateManufactured MaterialsPortland cementMaterials scienceArticleCatalysisInorganic Chemistryotorhinolaryngologic diseasesself-healingPhysical and Theoretical ChemistryMolecular BiologyCementSoil bacteriaInorganic polymerConstruction MaterialsSpectrum AnalysisPolyphosphateOrganic ChemistryWaterModels Theoreticaldigestive system diseasesPortland cementlcsh:Biology (General)lcsh:QD1-999chemistrySelf-healingMicroscopy Electron ScanningHardening (metallurgy)concretemicrocracksInternational Journal of Molecular Sciences
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Conditional Versus Joint Probability Assessments

1984

AbstractThe assessment of conditional and / or joint probabilities of events that constitute scenarios is necessary for sound planning, forecasting, and decision making. The assessment process is complex and subtle, and various difficulties are encountered in the elicitation of such probabilities such as, implicit violations ofthe probability calculus and some meaningfjilness conditions. The necessary and sufficient as well as meaningfulness conditions that the elicited information on conditional and joint probabilities must satisfy are evaluated against actual assessments empirically. A high frequency of violation of these conditions was observed in assessing both conditional and joint pro…

021103 operations researchChain rule (probability)Process (engineering)Posterior probability0211 other engineering and technologies02 engineering and technologyComputer Science ApplicationsJoint probability distributionConsistency (statistics)Signal ProcessingStatistics0202 electrical engineering electronic engineering information engineeringEconometricsProbability calculus020201 artificial intelligence & image processingInformation SystemsMathematicsINFOR: Information Systems and Operational Research
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