Search results for "Nonlinear dynamic"

showing 10 items of 158 documents

Nonlinear dynamical aspects of the human sleep EEG.

1994

This article deals with the application of methods from the theory of nonlinear dynamical systems to EEG signals. Theoretical background, mathematical concepts and algorithms for the calculation of "non-linear parameters" are reviewed and influences of the structure of reconstructed data sets on the calculations are pointed out. We present results for the estimation of the correlation dimension D2 and the principal Lyapunov-exponent lambda 1 for sleep EEG data respectively from 10 and 15 healthy subjects corresponding to different sleep stages. Essentially, we found a statistically significant decrease of both D2 and lambda 1 as sleep moves towards slow wave stages. The values for REM sleep…

Correlation dimensionmedia_common.quotation_subjectPoison controlLyapunov exponentElectroencephalographyModels Biologicalsymbols.namesakemedicineHumansStatistical physicsmedia_commonSleep StagesQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testGeneral NeuroscienceElectroencephalographyGeneral MedicineNonlinear systemNonlinear DynamicssymbolsPsychologySleepSleep eegAlgorithmsMathematicsVigilance (psychology)The International journal of neuroscience
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Observation of Kuznetsov-Ma soliton dynamics in optical fibre

2012

International audience; The nonlinear Schro¨dinger equation (NLSE) is a central model of nonlinear science, applying to hydrodynamics, plasma physics, molecular biology and optics. The NLSE admits only few elementary analytic solutions, but one in particular describing a localized soliton on a finite background is of intense current interest in the context of understanding the physics of extreme waves. However, although the first solution of this type was the Kuznetzov-Ma (KM) soliton derived in 1977, there have in fact been no quantitative experiments confirming its validity. We report here novel experiments in optical fibre that confirm the KM soliton theory, completing an important serie…

Current (mathematics)Context (language use)Type (model theory)01 natural sciencesArticle010305 fluids & plasmasPhysical Phenomenasymbols.namesake0103 physical sciencesComputer SimulationRogue wave010306 general physicsNonlinear Schrödinger equationNonlinear Sciences::Pattern Formation and SolitonsOptical FibersComputingMilieux_MISCELLANEOUSPhysics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Multidisciplinary[ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]Series (mathematics)Models TheoreticalNonlinear systemClassical mechanicsNonlinear Sciences::Exactly Solvable and Integrable SystemsNonlinear DynamicssymbolsSolitonAlgorithmsScientific Reports 2, 463
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Dissipative rogue wave generation in multiple-pulsing mode-locked fiber laser

2013

Following the first experimental observation of a new mechanism leading to optical rogue wave (RW) formation briefly reported in Lecaplain et al (2012 Phys. Rev. Lett. 108 233901), we provide an extensive study of the experimental conditions under which these RWs can be detected. RWs originate from the nonlinear interactions of bunched chaotic pulses that propagate in a fiber laser cavity, and manifest as rare events of high optical intensity. The crucial influence of the electrical detection bandwidth is illustrated. We also clarify the observation of RWs with respect to other pulsating regimes, such as Q-switching instability, that also lead to L-shaped probability distribution functions.…

Dissipative systemChaoticPhysics::OpticsSolitonsInstabilitylaw.inventionOpticslawFiber laserRogue waveOptical rogue wavesExtreme eventPhysicsbusiness.industryFiber laserOptical rogue wavesDissipative solitonsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsNonlinear systemNonlinear dynamicsOptical cavityMode-locked laserDissipative systemChaosbusinessJournal of Optics
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Computer simulations of bioequivalence trials: selection of design and analyte in BCS drugs with first-pass hepatic metabolism: linear kinetics (I).

2008

Modeling and simulation approaches are useful tools to assess the potential outcome of different scenarios in bioequivalence studies. The aim of this study is to propose a new and improved semi-physiological model for bioequivalence trial simulations and apply it for all BCS (Biopharmaceutic Classification System) drug classes with non-saturated first-pass hepatic metabolism. The semi-physiological model was developed in NONMEM VI to simulate bioequivalence trials. Parent drug and metabolite levels for both reference and test were simulated. Eight types of drugs (with high or low permeability and high or low solubility (class I to IV) and high or low intrinsic clearance) were considered in …

DrugAnalytemedia_common.quotation_subjectMetabolitePharmaceutical ScienceBioequivalencePharmacologychemistry.chemical_compoundFirst pass effectPharmacokineticsHumansComputer SimulationPharmacokineticsTissue Distributionmedia_commonDose-Response Relationship DrugChemistryNONMEMLiverNonlinear DynamicsPharmaceutical PreparationsTherapeutic EquivalencyArea Under CurveData Interpretation StatisticalDrug metabolismAlgorithmsEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
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Moving mass over a viscoelastic system: asymptotic behaviours and insights into nonlinear dynamics

2023

AbstractMoving masses are of interest in many applications of structural dynamics, soliciting in the last decades a vast debate in the scientific literature. However, despite the attention devoted to the subject, to the best of the authors’ knowledge, there is a lack of analysis about the fate of a movable mass when it rolls or slips with friction on a structure. With the aim of elucidating the dynamics of the simplest paradigm of this system and to investigate its asymptotic response, we make reference to a two-degree-of-freedom model made of an elastically vibrating carriage surmounted by a spherical mass, facing the problem both theoretically and experimentally. In case of linear systems…

Duffing modelControl and Systems EngineeringApplied MathematicsMechanical Engineering2-DOF systemNonlinear dynamicNon-smooth frictionAerospace EngineeringMoving maOcean EngineeringElectrical and Electronic EngineeringNonlinear Dynamics
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Analytical properties of horizontal visibility graphs in the Feigenbaum scenario

2012

Time series are proficiently converted into graphs via the horizontal visibility (HV) algorithm, which prompts interest in its capability for capturing the nature of different classes of series in a network context. We have recently shown [1] that dynamical systems can be studied from a novel perspective via the use of this method. Specifically, the period-doubling and band-splitting attractor cascades that characterize unimodal maps transform into families of graphs that turn out to be independent of map nonlinearity or other particulars. Here we provide an in depth description of the HV treatment of the Feigenbaum scenario, together with analytical derivations that relate to the degree di…

Dynamical systems theoryMatemáticasGeneral Physics and AstronomyFOS: Physical sciencesLyapunov exponentDynamical Systems (math.DS)Fixed point01 natural sciencesAeronáutica010305 fluids & plasmassymbols.namesakeBifurcation theoryOscillometry0103 physical sciencesAttractorFOS: MathematicsEntropy (information theory)Computer SimulationStatistical physicsMathematics - Dynamical Systems010306 general physicsMathematical PhysicsMathematicsSeries (mathematics)Degree (graph theory)Applied MathematicsStatistical and Nonlinear Physics16. Peace & justiceNonlinear Sciences - Chaotic DynamicsNonlinear DynamicsPhysics - Data Analysis Statistics and ProbabilitysymbolsChaotic Dynamics (nlin.CD)AlgorithmsData Analysis Statistics and Probability (physics.data-an)
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Feigenbaum graphs: a complex network perspective of chaos

2011

The recently formulated theory of horizontal visibility graphs transforms time series into graphs and allows the possibility of studying dynamical systems through the characterization of their associated networks. This method leads to a natural graph-theoretical description of nonlinear systems with qualities in the spirit of symbolic dynamics. We support our claim via the case study of the period-doubling and band-splitting attractor cascades that characterize unimodal maps. We provide a universal analytical description of this classic scenario in terms of the horizontal visibility graphs associated with the dynamics within the attractors, that we call Feigenbaum graphs, independent of map…

Dynamical systems theoryScienceSymbolic dynamicsFOS: Physical sciencesLyapunov exponentFixed pointBioinformatics01 natural sciences010305 fluids & plasmasStatistical Mechanicssymbols.namesake0103 physical sciencesAttractorEntropy (information theory)Statistical physics010306 general physicsChaotic SystemsCondensed-Matter PhysicsCondensed Matter - Statistical MechanicsPhysicsMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)Applied MathematicsPhysicsQRComplex SystemsComplex networkNonlinear Sciences - Chaotic DynamicsDegree distributionNonlinear DynamicssymbolsMedicineChaotic Dynamics (nlin.CD)MathematicsAlgorithmsResearch Article
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Incremental dynamic based fragility assessment of reinforced concrete structures: Stationary vs. non-stationary artificial ground motions

2017

Abstract Artificial and natural records are commonly employed by researches and practitioners to perform refined seismic assessments of structures. The techniques for the generation of artificial records and their effectiveness in producing signals which are significantly representative of real earthquakes are still debated as well as results of the consequent seismic assessment to expect from their application. The paper presents an in-depth comparative study highlighting the effect of employing different typologies of artificial ground motion records on seismic assessment results, especially addressing seismic fragility curves. Three sets of 50 stationary, nonstationary evenly modulated a…

EngineeringPeak ground accelerationIncremental dynamic analysi0211 other engineering and technologiesSoil Science020101 civil engineering02 engineering and technologyIncremental dynamic analysisSpectral accelerationIncremental Dynamic Analysis0201 civil engineeringFragilitySeismic assessmentReinforced concrete structuresNonlinear dynamic analysiNon-stationary random processeNonlinear dynamic analysisCivil and Structural EngineeringReinforced concrete structureFragility curves021110 strategic defence & security studiesbusiness.industryArtificial accelerogramsNon-stationary random processesStructural engineeringArtificial accelerograms; Fragility curves; Incremental dynamic analysis; Non-stationary random processes; Nonlinear dynamic analysis; Reinforced concrete structures; Civil and Structural Engineering; Geotechnical Engineering and Engineering Geology; Soil ScienceGeotechnical Engineering and Engineering GeologyReinforced concreteArtificial accelerograms Non-stationary random processes Nonlinear dynamic analysis Incremental dynamic analysis Fragility curves Reinforced concrete structuresNonlinear systemTime historyArtificial accelerogramFragility curvebusiness
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Nonlinear control of an activated sludge aeration process: use of fuzzy techniques for tuning PID controllers

1999

In this paper, several tuning algorithms, specifically ITAE, IMC and Cohen and Coon, were applied in order to tune an activated sludge aeration PID controller. Performance results of these controllers were compared by simulation with those obtained by using a nonlinear fuzzy PID controller. In order to design this controller, a trial and error procedure was used to determine, as a function of error at current time and at a previous time, sets of parameters (including controller gain, integral time and derivative time) which achieve satisfactory response of a PID controller actuating over the aeration process. Once these sets of data were obtained, neural networks were used to obtain fuzzy m…

EngineeringSewageArtificial neural networkbusiness.industryApplied MathematicsOpen-loop controllerPID controllerControl engineeringNonlinear controlFuzzy logicComputer Science ApplicationsKineticsNonlinear systemOxygen ConsumptionFuzzy LogicNonlinear DynamicsControl and Systems EngineeringControl theoryProcess controlComputer SimulationBiomassElectrical and Electronic EngineeringbusinessInstrumentationAlgorithmsISA Transactions
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Real-time parameter estimation of Zika outbreaks using model averaging

2017

SUMMARYEarly prediction of the final size of any epidemic and in particular for Zika disease outbreaks can be useful for health authorities in order to plan the response to the outbreak. The Richards model is often been used to estimate epidemiological parameters for arboviral diseases based on the reported cumulative cases in single- and multi-wave outbreaks. However, other non-linear models can also fit the data as well. Typically, one follows the so called post selection estimation procedure, i.e., selects the best fitting model out of the set of candidate models and ignores the model uncertainty in both estimation and inference since these procedures are based on a single model. In this…

EpidemiologyComputer science030231 tropical medicineEPIDEMICSInferenceZika virusDisease OutbreaksSet (abstract data type)03 medical and health sciences0302 clinical medicineZIKA VIRUS MODEL AVERAGING REAL-TIME PREDICTIONS EPIDEMICS COLOMBIAStatisticsHumans030212 general & internal medicineCitiesSelection (genetic algorithm)Weibull distributionEstimationMODEL AVERAGINGTime parameterbiologyZika Virus InfectionIncidenceOutbreakModels Theoreticalbiology.organism_classificationOriginal PapersREAL-TIME PREDICTIONSInfectious DiseasesNonlinear DynamicsZIKA VIRUSCOLOMBIA
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