Search results for "Computer Science Applications1707 Computer Vision and Pattern Recognition"

showing 10 items of 217 documents

Adaptive Neural Stabilizing Controller for a Class of Mismatched Uncertain Nonlinear Systems by State and Output Feedback

2015

In this paper, first, an adaptive neural network (NN) state-feedback controller for a class of nonlinear systems with mismatched uncertainties is proposed. By using a radial basis function NN (RBFNN), a bound of unknown nonlinear functions is approximated so that no information about the upper bound of mismatched uncertainties is required. Then, an observer-based adaptive controller based on RBFNN is designed to stabilize uncertain nonlinear systems with immeasurable states. The state-feedback and observer-based controllers are based on Lyapunov and strictly positive real-Lyapunov stability theory, respectively, and it is shown that the asymptotic convergence of the closed-loop system to ze…

Lyapunov functionObserver (quantum physics)Computer Simulation; Feedback; Neural Networks (Computer); Nonlinear Dynamics; Control and Systems Engineering; Software; Information Systems; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionNeural Networks (Computer)Nonlinear controlUpper and lower boundsFeedbackComputer Science ApplicationsHuman-Computer InteractionNonlinear systemsymbols.namesakeNonlinear DynamicsControl and Systems EngineeringControl theoryAdaptive systemStability theorysymbolsComputer SimulationNeural Networks ComputerElectrical and Electronic EngineeringSoftwareInformation SystemsMathematicsIEEE Transactions on Cybernetics
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Global stability of coupled Markovian switching reaction–diffusion systems on networks

2014

Abstract In this paper, we investigate the stability problem for some Markovian switching reaction–diffusion coupled systems on networks (MSRDCSNs). By using the Lyapunov function, we establish some novel stability principles for stochastic stability, asymptotically stochastic stability, globally asymptotically stochastic stability and almost surely exponential stability of the MSRDCSNs. These stability principles have a close relation to the topology property of the network. We also provide a systematic method for constructing global Lyapunov function for these MSRDCSNs by using graph theory. The new method can help analyze the dynamics of complex networks.

Lyapunov functionRelation (database)Computer Science Applications1707 Computer Vision and Pattern RecognitionTopology (electrical circuits)Graph theoryStochastic coupled systemsComplex networkStability (probability)Computer Science Applicationssymbols.namesakeControl and Systems EngineeringControl theoryReaction–diffusion systemNetworks; Reaction-diffusion; Stability; Stochastic coupled systems; Control and Systems Engineering; Analysis; Computer Science Applications1707 Computer Vision and Pattern RecognitionsymbolsApplied mathematicsNetworksReaction-diffusionMarkovian switchingStabilityAnalysisMathematicsNonlinear Analysis: Hybrid Systems
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Design of unknown inputs proportional integral observers for TS fuzzy models

2014

In this paper the design of unknown inputs proportional integral observers for Takagi-Sugeno (TS) fuzzy models subject to unmeasurable decision variables is proposed. These unknown inputs affect both state and output of the system. The synthesis of these observers is based on two hypotheses that the unknown inputs are under the polynomials form with their kth derivatives zero for the first one and bounded norm for the second one, hence two approaches. The Lyapunov theory and L"2-gain technique are used to develop the stability conditions of such observers in LMIs (linear matrix inequality) formulation. A simulation example is given to validate and compare the proposed design conditions for …

Lyapunov functionUnknown inputs reconstructionCognitive NeuroscienceLinear matrix inequalityComputer Science Applications1707 Computer Vision and Pattern RecognitionFuzzy logicComputer Science ApplicationsStability conditionssymbols.namesakeDecision variablesComputer Science::Systems and ControlArtificial IntelligenceControl theoryBounded functionNorm (mathematics)Unmeasurable decision variablessymbolsTS fuzzy modelsProportional integral observer; TS fuzzy models; Unknown inputs reconstruction; Unmeasurable decision variables; Artificial Intelligence; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive NeuroscienceProportional integral observerMathematicsNeurocomputing
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On integral input-to-state stability for a feedback interconnection of parameterised discrete-time systems

2014

This paper addresses integral input-to-state stability iISS for a feedback interconnection of parameterised discrete-time systems involving two subsystems. Particularly, we give a construction for a smooth iISS Lyapunov function for the whole system from the sum of nonlinearly weighted Lyapunov functions of individual subsystems. Motivations for such a construction are given. We consider two main cases. The first one investigates iISS for the whole system when both subsystems are iISS. The second one gives iISS for the interconnected system when one of subsystems is allowed to be input-to-state stable. The approach is also valid for both discrete-time cascades and a feedback interconnection…

Lyapunov functionsmall-gain conditions0209 industrial biotechnologyInterconnectionStability (learning theory)Computer Science Applications1707 Computer Vision and Pattern Recognition02 engineering and technologyState (functional analysis)Computer Science ApplicationsWhole systems0-global asymptotic stabilityTheoretical Computer Scienceinput-to-state stabilitysymbols.namesakeparameterised discrete-time systems020901 industrial engineering & automationDiscrete time and continuous timeControl theoryControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processing0-global asymptotic stability; input-to-state stability; integral input-to-state stability; parameterised discrete-time systems; small-gain conditions; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognitionintegral input-to-state stabilityMathematics
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Oil whip-induced wear in journal bearings

2014

Published version of an article in the journal: International Journal of Advanced Manufacturing Technology. Also available from the publisher at: http://dx.doi.org/10.1007/s00170-014-5805-8 This paper investigates the effect of oil whirl and oil whip in fluid film radial bearings due to possible metallic contact. The degree of metallic contact and thereby wear and tear between rotating shafts and bearing bushes is assessed by measuring electric currents through the oil film. The current as well as the voltage varied in accordance with the contact ratio between the shaft and bush in the fluid film radial bearing. The gauge signal thus indicates the degree of metallic contact based on the thi…

Materials scienceBearing (mechanical)Wear and tearMechanical Engineeringoil whipComputer Science Applications1707 Computer Vision and Pattern RecognitionIndustrial and Manufacturing Engineeringoil whirlComputer Science Applicationslaw.inventionFluid film radial bearings; Oil whip; Oil whirl; Industrial and Manufacturing Engineering; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Software; Mechanical EngineeringControl and Systems EngineeringlawOil filmfluid film radial bearingsHigh loadGeotechnical engineeringVDP::Technology: 500::Materials science and engineering: 520Current (fluid)Whip (tree)SoftwareVoltageThe International Journal of Advanced Manufacturing Technology
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Performance Enhancement of Alkaline Water Electrolyzer Using Nanostructured Electrodes Synthetized by Template Electrosynthesis

2018

The increase of power generation by renewable sources is causing problems in the management of the electricity grid. In order to favor the transition from the current energy production towards renewable energy sources, it is necessary to plan strategy to develop suitable energy storage systems. Certainly, the electrochemical hydrogen production can be considered as one of the most promising storage technologies. In this work, an innovative alkaline electrolyzer is presented from its design based on the use of nanostructured electrodes up to its implementation suggested by the results of tests simulating real operation. The nanostructured electrodes were fabricated by template electrosynthes…

Materials scienceEnergy storagehydrogen productionnanowires nichel cobalt alloy 3D printed cell water splitting hydrogen alkaline electrolysiEnergy Engineering and Power TechnologyNanotechnologyElectrochemistryElectrosynthesisEnergy storageIndustrial and Manufacturing Engineeringlaw.inventionlawArtificial IntelligenceInstrumentationHydrogen productionElectrolysisbusiness.industryRenewable Energy Sustainability and the Environmentnanostructured materialAlkaline water electrolysisComputer Science Applications1707 Computer Vision and Pattern RecognitionRenewable energyElectricity generationComputer Networks and CommunicationSettore ING-IND/23 - Chimica Fisica Applicatabusiness
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Electroplated bismuth absorbers for planar NTD-Ge sensor arrays applied to hard x-ray detection in astrophysics

2018

Single sensors or small arrays of manually assembled neutron transmutation doped germanium (NTD-Ge) based microcalorimeters have been widely used as high energy-resolution detectors from infrared to hard X-rays. Several planar technological processes were developed in the last years aimed at the fabrication of NTD-Ge arrays, specifically designed to produce soft X-ray detectors. One of these processes consists in the fabrication of the absorbers. In order to absorb efficiently hard X-ray photons, the absorber has to be properly designed and a suitable material has to be employed. Bismuth offers interesting properties in terms of absorbing capability, of low heat capacity (needed to obtain h…

Materials scienceFabricationelectroplatingNTD-GeX-ray detectorchemistry.chemical_elementGermaniumCondensed Matter Physic01 natural sciencesthick film010305 fluids & plasmasBismuthX-rayPlanarSettore FIS/05 - Astronomia E AstrofisicaMicrocalorimeter0103 physical sciencesbismuthElectrical and Electronic Engineering010306 general physicsElectroplatingbusiness.industryElectronic Optical and Magnetic MaterialDopingDetectorComputer Science Applications1707 Computer Vision and Pattern RecognitionApplied MathematicchemistryOptoelectronicsbusiness
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Fabrication and Characterisation of Perovskite Thin Films for Photovoltaic Application

2018

This paper presents an alternative way to obtain perovskite thin films for photovoltaic application. This technique results more competitive, scalable, low-cost, reproducible and is different from other most common methods of fabrication.

Materials scienceFabricationthin filmRenewable Energy Sustainability and the EnvironmentPhotovoltaic systemPerovskite solar cellEnergy Engineering and Power TechnologyNanotechnologyComputer Science Applications1707 Computer Vision and Pattern RecognitionPerovskite solar cellIndustrial and Manufacturing EngineeringComputer Networks and CommunicationSettore ING-IND/23 - Chimica Fisica ApplicataArtificial Intelligenceperovskite thin films electrodeposition lead oxide solar cellThin filmInstrumentationPerovskite (structure)electrochemical deposition
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Partial Discharges Diagnostics Along Medium Voltage Cables

2018

In the last years different partial discharge (PD) measuring techniques have been developed because PD diagnostic is the most widely tool to evaluate the insulation condition of a power cable. Recently non-conventional methods and sensors have been used in order to reach improved results in PD measurements. New sensors based on wireless technology were developed in order to simplify PD measurement especially for on-line, on-site diagnosis. The purpose of this work is to perform measurements that allow to study the variation of pulses when they travel along a medium voltage cable and characterize a new smart PD source detector and locator, named Wings sensor. For these purposes, internal PD …

Materials scienceRenewable Energy Sustainability and the Environmentbusiness.industryAcousticsPD MeasurementDetectordiagnosticEnergy Engineering and Power TechnologyComputer Science Applications1707 Computer Vision and Pattern RecognitionRotationSignalIndustrial and Manufacturing Engineeringantenna sensorpartial dischargeSettore ING-IND/31 - ElettrotecnicaComputer Networks and CommunicationIntelligent sensorArtificial IntelligencePartial dischargeWirelessPower cablebusinessInstrumentationVoltage2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Experimental Characterization of the Human Meniscal Tissue

2018

The meniscus plays a critical role in load transmission, stability and energy dissipation in the knee joint. Loss of the meniscus leads to joint degeneration and osteoarthritis. In a number of cases replacement of the resected meniscal tissue by a synthetic implant might avoid the articular cartilage degeneration. None of the available implants presents optimal biomechanics characteristic due to the fact the biomechanics functionality of the meniscus is not yet fully understood. Mimicking the native biomechanical characteristics of the menisci seems to be the key factor in meniscus replacement functioning. This is extremely challenging due to its complex inhomogeneous microstructure, the la…

Materials sciencemeniscal tissue0206 medical engineeringEnergy Engineering and Power TechnologyArticular cartilage02 engineering and technologyDegeneration (medical)OsteoarthritisKnee JointMeniscus (anatomy)fractional viscoelasticityIndustrial and Manufacturing Engineering0203 mechanical engineeringArtificial IntelligencemedicineInstrumentationMeniscal tissueRenewable Energy Sustainability and the EnvironmentBiomechanicsComputer Science Applications1707 Computer Vision and Pattern Recognitionmusculoskeletal systemmedicine.disease020601 biomedical engineeringCharacterization (materials science)Computer Networks and Communication020303 mechanical engineering & transportsmedicine.anatomical_structureBiaxial testSettore ICAR/08 - Scienza Delle CostruzioniBiomedical engineering2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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