Search results for "Attractor"

showing 10 items of 162 documents

Analytic Exact Upper Bound for the Lyapunov Dimension of the Shimizu–Morioka System

2015

In applied investigations, the invariance of the Lyapunov dimension under a diffeomorphism is often used. However, in the case of irregular linearization, this fact was not strictly considered in the classical works. In the present work, the invariance of the Lyapunov dimension under diffeomorphism is demonstrated in the general case. This fact is used to obtain the analytic exact upper bound of the Lyapunov dimension of an attractor of the Shimizu–Morioka system. peerReviewed

Lyapunov functionPure mathematicsMathematics::Dynamical SystemsGeneral Physics and Astronomylcsh:AstrophysicsLyapunov exponentUpper and lower boundssymbols.namesakeShimizu-Morioka systemDimension (vector space)Attractorlcsh:QB460-466Lyapunov equationLyapunov redesignlcsh:ScienceMathematicsta111Mathematical analysisShimizu–Morioka systemlcsh:QC1-999Nonlinear Sciences::Chaotic DynamicssymbolsLyapunov dimensionlcsh:QDiffeomorphismLyapunov exponentlcsh:PhysicsEntropy
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The chaotic Dadras–Momeni system: control and hyperchaotification

2015

In this paper a novel three-dimensional autonomous chaotic system, the so called Dadras-Momeni system, is considered and two different control techniques are employed to realize chaos control and chaos synchronization. Firstly, the optimal control of the chaotic system is discussed and an open loop feedback controller is proposed to stabilize the system states to one of the system equilibria, minimizing the cost function by virtue of the Pontryagin’s minimum principle. Then, an adaptive control law and an update rule for uncertain parameters, based on Lyapunov stability theory, are designed both to drive the system trajectories to an equilibrium or to realize a complete synchronization of t…

Lyapunov stabilityControl and OptimizationAdaptive controlApplied MathematicsSynchronization of chaosChaoticOpen-loop controllerOptimal control01 natural sciences010305 fluids & plasmasNonlinear Sciences::Chaotic DynamicsControl and Systems EngineeringControl theoryoptimal control synchronization Lyaponuv function Pontryagin minimum principle multi-scroll chaotic attractor hyperchaotic system0103 physical sciencesAttractor010301 acousticsMathematicsIMA Journal of Mathematical Control and Information
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Strange attractor for the renormalization flow for invariant tori of Hamiltonian systems with two generic frequencies

1999

We analyze the stability of invariant tori for Hamiltonian systems with two degrees of freedom by constructing a transformation that combines Kolmogorov-Arnold-Moser theory and renormalization-group techniques. This transformation is based on the continued fraction expansion of the frequency of the torus. We apply this transformation numerically for arbitrary frequencies that contain bounded entries in the continued fraction expansion. We give a global picture of renormalization flow for the stability of invariant tori, and we show that the properties of critical (and near critical) tori can be obtained by analyzing renormalization dynamics around a single hyperbolic strange attractor. We c…

Mathematical analysisFOS: Physical sciencesTorusInvariant (physics)Nonlinear Sciences - Chaotic DynamicsHamiltonian systemRenormalizationFractalBounded functionAttractorChaotic Dynamics (nlin.CD)Continued fractionMathematics::Symplectic GeometryMathematical physicsMathematicsPhysical Review E
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Time scales of adaptive behavior and motor learning in the presence of stochastic perturbations.

2009

In this paper, the major assumptions of influential approaches to the structure of variability in practice conditions are discussed from the perspective of a generalized evolving attractor landscape model of motor learning. The efficacy of the practice condition effects is considered in relation to the theoretical influence of stochastic perturbations in models of gradient descent learning of multiple dimension landscapes. A model for motor learning is presented combining simulated annealing and stochastic resonance phenomena against the background of different time scales for adaptation and learning processes. The practical consequences of the model's assumptions for the structure of pract…

Mathematical optimizationAcclimatizationMovementBiophysicsExperimental and Cognitive PsychologyMotor ActivityOscillometryAttractorAdaptation PsychologicalHumansLearningOrthopedics and Sports MedicineAttentionMotor skillAdaptive behaviorBehaviorStochastic ProcessesStochastic processbusiness.industryGeneral MedicineStochastic resonance (sensory neurobiology)Motor SkillsSimulated annealingArtificial intelligenceMotor learningGradient descentbusinessPsychologyNoiseHuman movement science
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Hidden attractor and homoclinic orbit in Lorenz-like system describing convective fluid motion in rotating cavity

2015

Abstract In this paper a Lorenz-like system, describing convective fluid motion in rotating cavity, is considered. It is shown numerically that this system, like the classical Lorenz system, possesses a homoclinic trajectory and a chaotic self-excited attractor. However, for the considered system, unlike the classical Lorenz system, along with self-excited attractor a hidden attractor can be localized. Analytical-numerical localization of hidden attractor is demonstrated.

Mathematics::Dynamical SystemsChaoticLyapunov exponentsymbols.namesakeAttractorSelf-excited attractorHidden attractorHomoclinic orbitCoexistence of attractorsMultistabilityMathematicsHomoclinic orbitRössler attractorNumerical AnalysisApplied Mathematicsta111Mathematical analysisLorenz-like systemMultistabilityLorenz systemNonlinear Sciences::Chaotic DynamicsClassical mechanicsModeling and SimulationLyapunov dimensionsymbolsLyapunov exponentCrisisCommunications in Nonlinear Science and Numerical Simulation
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Hidden Strange Nonchaotic Attractors

2021

In this paper, it is found numerically that the previously found hidden chaotic attractors of the Rabinovich–Fabrikant system actually present the characteristics of strange nonchaotic attractors. For a range of the bifurcation parameter, the hidden attractor is manifestly fractal with aperiodic dynamics, and even the finite-time largest Lyapunov exponent, a measure of trajectory separation with nearby initial conditions, is negative. To verify these characteristics numerically, the finite-time Lyapunov exponents, ‘0-1’ test, power spectra density, and recurrence plot are used. Beside the considered hidden strange nonchaotic attractor, a self-excited chaotic attractor and a quasiperiodic at…

Mathematics::Dynamical SystemsGeneral MathematicsChaoticattraktoritLyapunov exponenthidden chaotic attractor01 natural sciencesStrange nonchaotic attractor010305 fluids & plasmassymbols.namesakeFractalRabinovich–Fabrikant system0103 physical sciencesAttractorComputer Science (miscellaneous)Statistical physicsdynaamiset systeemitRecurrence plot010301 acousticsEngineering (miscellaneous)BifurcationPhysicskaaosteorialcsh:Mathematicslcsh:QA1-939strange nonchaotic attractorself-excited attractorNonlinear Sciences::Chaotic DynamicsQuasiperiodic functionsymbolsfraktaalitMathematics
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Scenario of the Birth of Hidden Attractors in the Chua Circuit

2017

Recently it was shown that in the dynamical model of Chua circuit both the classical selfexcited and hidden chaotic attractors can be found. In this paper the dynamics of the Chua circuit is revisited. The scenario of the chaotic dynamics development and the birth of selfexcited and hidden attractors is studied. It is shown a pitchfork bifurcation in which a pair of symmetric attractors coexists and merges into one symmetric attractor through an attractormerging bifurcation and a splitting of a single attractor into two attractors. The scenario relating the subcritical Hopf bifurcation near equilibrium points and the birth of hidden attractors is discussed.

Mathematics::Dynamical Systemsclassification of attractors as being hidden or self-excitedChaoticFOS: Physical sciences01 natural sciences010305 fluids & plasmassymbols.namesake0103 physical sciencesAttractorStatistical physicsHidden Chua attractor010301 acousticsEngineering (miscellaneous)Nonlinear Sciences::Pattern Formation and SolitonsBifurcationMathematicsEquilibrium pointHopf bifurcationta213Applied Mathematicsta111pitchfork bifurcationChua circuitNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsPitchfork bifurcationclassificationbifurcation theoryModeling and Simulationsubcritical Hopf bifurcationsymbolsChaotic Dynamics (nlin.CD)Merge (version control)International Journal of Bifurcation and Chaos
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On attracting sets in artificial networks: cross activation

2018

Mathematical models of artificial networks can be formulated in terms of dynamical systems describing the behaviour of a network over time. The interrelation between nodes (elements) of a network is encoded in the regulatory matrix. We consider a system of ordinary differential equations that describes in particular also genomic regulatory networks (GRN) and contains a sigmoidal function. The results are presented on attractors of such systems for a particular case of cross activation. The regulatory matrix is then of particular form consisting of unit entries everywhere except the main diagonal. We show that such a system can have not more than three critical points. At least n–1 eigenvalu…

Matrix (mathematics)lcsh:T58.5-58.64Mathematical modelDynamical systems theorylcsh:Information technologyComputer scienceQuantitative Biology::Molecular NetworksOrdinary differential equationAttractorSigmoid functionTopologyMain diagonalEigenvalues and eigenvectorsITM Web of Conferences
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Analytical-Numerical Localization of Hidden Attractor in Electrical Chua’s Circuit

2013

Study of hidden oscillations and hidden chaotic attractors (basin of attraction of which does not contain neighborhoods of equilibria) requires the development of special analytical-numerical methods. Development and application of such methods for localization of hidden chaotic attractors in dynamical model of Chua’s circuit are demonstrated in this work.

Nonlinear Sciences::Chaotic DynamicsChua's circuitDevelopment (topology)Computer scienceAttractorChaoticHidden oscillationTopology
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Lyapunov dimension formula for the global attractor of the Lorenz system

2016

The exact Lyapunov dimension formula for the Lorenz system for a positive measure set of parameters, including classical values, was analytically obtained first by G.A. Leonov in 2002. Leonov used the construction technique of special Lyapunov-type functions, which was developed by him in 1991 year. Later it was shown that the consideration of larger class of Lyapunov-type functions permits proving the validity of this formula for all parameters, of the system, such that all the equilibria of the system are hyperbolically unstable. In the present work it is proved the validity of the formula for Lyapunov dimension for a wider variety of parameters values including all parameters, which sati…

Nonlinear Sciences::Chaotic DynamicsLorenz systemLyapunov dimensionLyapunov exponentsself-excited Lorenz attractorKaplan-Yorke dimension
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