Search results for "Time-varying"

showing 10 items of 22 documents

Effects of Visually Induced Motion Sickness on Emergency Braking Reaction Times in a Driving Simulator

2019

Objective: The study explores associations of visually induced motion sickness (VIMS) with emergency braking reaction times (RTs) in driving simulator studies. It examines the effects over the progression of multiple simulated drives. Background: Driving simulator usage has many advantages for RT studies; however, if it induces VIMS, the observed driving behavior might deviate from real-world driving, potentially masking or skewing results. Possible effects of VIMS on RT have long been entertained, but the progression of VIMS across simulated drives has so far not been sufficiently considered. Method: Twenty-eight adults completed six drives on 2 days in a fixed-base driving simulator. At f…

AdultMaleTime-varying covariateAutomobile DrivingMotion SicknessComputer scienceHuman Factors and ErgonomicsYoung AdultBehavioral Neuroscience0502 economics and businessReaction TimemedicineHumansDriving simulationComputer Simulation0501 psychology and cognitive sciences050107 human factorsApplied PsychologySimulation050210 logistics & transportation05 social sciencesDriving simulatormedicine.diseaseMotion sicknessSimulator sicknessFemaleEmergencies
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Time-Varying Surrogate Data to Assess Nonlinearity in Nonstationary Time Series: Application to Heart Rate Variability

2009

We propose a method to extend to time-varying (TV) systems the procedure for generating typical surrogate time series, in order to test the presence of nonlinear dynamics in potentially nonstationary signals. The method is based on fitting a TV autoregressive (AR) model to the original series and then regressing the model coefficients with random replacements of the model residuals to generate TV AR surrogate series. The proposed surrogate series were used in combination with a TV sample entropy (SE) discriminating statistic to assess nonlinearity in both simulated and experimental time series, in comparison with traditional time-invariant (TIV) surrogates combined with the TIV SE discrimin…

AdultTime FactorsComputer scienceRestBiomedical EngineeringSurrogate dataHeart RateStatisticsHumansHeart rate variabilityEntropy (information theory)Computer SimulationNonstationarityEntropy (energy dispersal)Time seriesEntropy (arrow of time)StatisticModels StatisticalEntropy (statistical thermodynamics)RespirationNonlinear dynamicModels CardiovascularComplexitySample entropyNonlinear systemNonlinear DynamicsAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaSurrogate dataTime-varying (TV) autoregressive (AR) modelHeart rate variability (HRV)AlgorithmsEntropy (order and disorder)IEEE Transactions on Biomedical Engineering
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Asynchronous L1 control of delayed switched positive systems with mode-dependent average dwell time

2014

Abstract This paper investigates the stability and asynchronous L 1 control problems for a class of switched positive linear systems (SPLSs) with time-varying delays by using the mode-dependent average dwell time (MDADT) approach. By allowing the co-positive type Lyapunov–Krasovskii functional to increase during the running time of active subsystems, a new stability criterion for the underlying system with MDADT is first derived. Then, the obtained results are extended to study the issue of asynchronous L 1 control, where “asynchronous” means that the switching of the controllers has a lag with respect to that of system modes. Sufficient conditions are provided to guarantee that the resulti…

Asynchronous switchingInformation Systems and ManagementAsynchronous switching; Average dwell time; Positive system; Switched system; Time-varying delay; Artificial Intelligence; Software; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems and ManagementStability criterionComputer scienceLinear systemPositive systemComputer Science Applications1707 Computer Vision and Pattern RecognitionPositive systemsTime-varying delayStability (probability)Computer Science ApplicationsTheoretical Computer ScienceDwell timeExponential stabilityArtificial IntelligenceControl and Systems EngineeringControl theoryAsynchronous communicationAverage dwell timeSwitched systemSoftwareInformation Sciences
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Stabilization of positive switched systems with time-varying delays under asynchronous switching

2014

Published version of an article in the journal: International Journal of Control, Automation and Systems. Also available from the publisher at: http://dx.doi.org/10.1007/s12555-013-0486-x This paper investigates the state feedback stabilization problem for a class of positive switched systems with time-varying delays under asynchronous switching in the frameworks of continuous-time and discrete-time dynamics. The so-called asynchronous switching means that the switches between the candidate controllers and system modes are asynchronous. By constructing an appropriate co-positive type Lyapunov-Krasovskii functional and further allowing the functional to increase during the running time of ac…

Asynchronous switchingpositive systemsAsynchronous switching; average dwell time; positive systems; switched systems; time-varying delays; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognitionbusiness.industryComputer scienceControl (management)time-varying delaysComputer Science Applications1707 Computer Vision and Pattern RecognitionRoboticsControl engineeringPositive systemsMechatronicsVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411AutomationComputer Science ApplicationsControl and Systems EngineeringAsynchronous communicationswitched systemsArtificial intelligencebusinessaverage dwell timeInternational Journal of Control, Automation and Systems
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China Spillovers: New Evidence from Time-Varying Estimates

2017

The recent “rebalancing” of China’s economy has raised concerns that the country’s growth slowdown may have large global implications. This note looks at this issue by analyzing the effects of China’s growth shocks on the output of other countries and how these effects have changed over time. Estimates indicate that the magnitude of China’s spillovers has steadily increased during the last two decades, but remains yet limited. Spillovers are larger in neighboring (Asian) countries and in emerging markets and developing economies. Trade linkages remain main transmission channels. In addition, a negative shock in China has (marginal) positive effects for net commodity importers wh…

ChinaEconomics and Econometrics050208 financeTime-varying estimateEconomic sectormedia_common.quotation_subject05 social sciencesCommodityDeveloping countryInternational economicsRecessionSpilloverShock (economics)Spillover effect0502 economics and businessEconomics050207 economicsEmerging marketsChinamedia_commonOpen Economies Review
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Quantitative evaluation of muscle synergy models: a single-trial task decoding approach.

2012

Delis, Ioannis | Berret, Bastien | Pozzo, Thierry | Panzeri, Stefano; International audience; ''Muscle synergies, i.e., invariant coordinated activations of groups of muscles, have been proposed as building blocks that the central nervous system (CNS) uses to construct the patterns of muscle activity utilized for executing movements . Several efficient dimensionality reduction algorithms that extract putative synergies from electromyographic (EMG) signals have been developed. Typically, the quality of synergy decompositions is assessed by computing the Variance Accounted For (VAF). Yet, little is known about the extent to which the combination of those synergies en codes task discriminating…

Computer scienceNeuroscience (miscellaneous)ORGANIZATIONMachine learningcomputer.software_genrelcsh:RC321-571Matrix decompositionNATURAL MOTOR BEHAVIORSFORCE03 medical and health sciencesCellular and Molecular NeurosciencePRIMITIVES0302 clinical medicinetask decodingmuscle synergiesMODULAR CONTROLMATRIX FACTORIZATIONOriginal Research ArticleMuscle activityInvariant (mathematics)Muscle synergylcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologyARM MOVEMENTS0303 health sciencessingle-trial analysisarm movementbusiness.industryDimensionality reduction[SCCO.NEUR]Cognitive science/NeurosciencereachingTIME-VARYING SYNERGIES[ SCCO.NEUR ] Cognitive science/NeurosciencePATTERNS''NATURAL MOTOR BEHAVIORSArtificial intelligenceFORCE''Single trialSPINAL-CORDbusinesscomputer030217 neurology & neurosurgeryDecoding methodsNeuroscienceFrontiers in computational neuroscience
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Stabilization and lx -gain analysis of switched positive systems with actuator saturation

2014

This paper is concerned with the problems of stability and l 1 -gain analysis for a class of switched positive systems with time-varying delays and actuator saturation. Firstly, a convex hull representation is used to describe the saturation behavior. By constructing a multiple co-positive Lyapunov functional, sufficient conditions are provided for the closed-loop system to be locally asymptotically stable at the origin of the state space under arbitrary switching. Then, the l 1 -gain performance analysis in the presence of actuator saturation is developed. Finally, two numerical examples are provided to demonstrate the effectiveness of the proposed method.

Convex hulll<inf>1</inf>-gain performanceApplied MathematicsTime-varying delaysActuator saturationComputer Science Applications1707 Computer Vision and Pattern RecognitionPositive systemsActuator saturation; l<inf>1</inf>-gain performance; Positive systems; Switched systems; Time-varying delays; Computer Science Applications1707 Computer Vision and Pattern Recognition; Control and Systems Engineering; Applied Mathematics; Modeling and SimulationStability (probability)Positive systemsActuator saturationControl theoryControl and Systems EngineeringStability theoryModeling and SimulationState spaceRepresentation (mathematics)Saturation (chemistry)Switched systemsMathematics
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Diagnosis of mechanical unbalance for double cage induction motor load in time-varying conditions based on motor vibration signature analysis

2013

This paper investigates the detectability of mechanical unbalance in double cage induction motor load using motor vibration signature analysis technique. Rotor imbalances induce specific harmonic components in electrical, electromagnetical, and mechanical quantities. Harmonic components characteristic of this category of rotor faults, issued from vibration signals analysis, are closely related to rotating speed of the rotor, which complicates its detection under non-stationary operating conditions of the motor. Firstly, experimental results were performed first under healthy and mechanical load unbalance cases, for different load levels under steady-state operating conditions to evaluate th…

Engineeringcondition monitoringSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricilaw.inventionelectromagnetical quantitieWaveletRotorlawInduction motorelectrical quantitieMechanical loadrotating speedRotor (electric)Condition monitoringharmonic componentTime-frequency analysicurrent signature analysiTransient analysiSteady-statewavelet transformsmotor radial vibration signature analysis techniquemechnical load unbalanceHarmonicwavelet analysimotor axial vibration signature analysis techniquemotor vibration signature analysiApproximation methodtime-varying conditionVibrationvibration measurementmechanical quantitienonstationary operating conditionControl theorymechanical unbalanceSensitivity (control systems)vibration signals analysirotor imbalancewavelet transformvibration signature analysiRenewable Energy Sustainability and the Environmentrotor faultbusiness.industryfault diagnosiFFT analysifast Fourier transformVibrationdouble cage induction motor loadignal processingbusinessInduction motor2013 International Conference on Renewable Energy Research and Applications (ICRERA)
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Efficient Bayesian generalized linear models with time-varying coefficients : The walker package in R

2020

The R package walker extends standard Bayesian general linear models to the case where the effects of the explanatory variables can vary in time. This allows, for example, to model the effects of interventions such as changes in tax policy which gradually increases their effect over time. The Markov chain Monte Carlo algorithms powering the Bayesian inference are based on Hamiltonian Monte Carlo provided by Stan software, using a state space representation of the model to marginalise over the regression coefficients for efficient low-dimensional sampling.

FOS: Computer and information sciencesaikasarjatbayesilainen menetelmäBayesian inferenceMarkovin ketjutRStatistics - Computationlineaariset mallitR-kieliMarkov chain Monte CarloMonte Carlo -menetelmätregressioanalyysiComputation (stat.CO)time-varying regression
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Reference tracking control of hypersonic vehicles using switched linear parameter-varying approach

2013

This paper is concerned with the control problem of the air-breathing hypersonic vehicle using switched linear parameter-varying (LPV) systems approach. By linearizing the nonlinear model of the hypersonic vehicle at trim points and dividing the velocity scope into several partitions, a switched LPV model for the underlying systems is derived. With aid of multiple Lyapunov-like functions technique, the controllers ensuring the tracking of given commands of the closed-loop system are designed under the mode-independent and mode-dependent switching logics, respectively. Simulation results for the hypersonic vehicle show the effectiveness of the proposed method and the advantages of the mode-d…

Hypersonic speedEngineeringbusiness.industrylinearisation techniquesControl (management)Hypersonic vehicleControl engineeringTracking (particle physics)time-varying systemsTrimaircraft controlControl theoryComputer Science::Systems and ControlNonlinear modelReference trackingcontrol system synthesisbusinessLyapunov methodsclosed loop systems
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