0000000000616067

AUTHOR

Marius-f. Danca

showing 11 related works from this author

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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Coupled Discrete Fractional-Order Logistic Maps

2021

This paper studies a system of coupled discrete fractional-order logistic maps, modeled by Caputo’s delta fractional difference, regarding its numerical integration and chaotic dynamics. Some interesting new dynamical properties and unusual phenomena from this coupled chaotic-map system are revealed. Moreover, the coexistence of attractors, a necessary ingredient of the existence of hidden attractors, is proved and analyzed.

General Mathematicscaputo delta fractional differenceChaoticattraktoritstabilityStability (probability)fractional-order difference equationNumerical integrationNonlinear Sciences::Chaotic DynamicsAttractorQA1-939Computer Science (miscellaneous)Applied mathematicsOrder (group theory)dynaamiset systeemitEngineering (miscellaneous)Mathematicsdiscrete fractional-order systemhidden attractorMathematicsMathematics
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Approximating hidden chaotic attractors via parameter switching.

2018

In this paper, the problem of approximating hidden chaotic attractors of a general class of nonlinear systems is investigated. The parameter switching (PS) algorithm is utilized, which switches the control parameter within a given set of values with the initial value problem numerically solved. The PS-generated attractor approximates the attractor obtained by averaging the control parameter with the switched values, which represents the hidden chaotic attractor. The hidden chaotic attractors of a generalized Lorenz system and the Rabinovich-Fabrikant system are simulated for illustration. In Refs. 1–3, it is proved that the attractors of a chaotic system, considered as the unique numerical …

Class (set theory)Mathematics::Dynamical SystemsChaoticGeneral Physics and AstronomyFOS: Physical sciences01 natural sciences010305 fluids & plasmasSet (abstract data type)phase space methods0103 physical sciencesAttractorApplied mathematicsInitial value problemdifferentiaalilaskenta010301 acousticsMathematical PhysicsMathematicsApplied Mathematicsta111numerical approximationsStatistical and Nonlinear Physicschaotic systemsLorenz systemchaoticNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsNonlinear systemkaaosnumeerinen analyysinonlinear systemsChaotic Dynamics (nlin.CD)Chaos (Woodbury, N.Y.)
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D3 Dihedral Logistic Map of Fractional Order

2021

In this paper, the D3 dihedral logistic map of fractional order is introduced. The map presents a dihedral symmetry D3. It is numerically shown that the construction and interpretation of the bifurcation diagram versus the fractional order requires special attention. The system stability is determined and the problem of hidden attractors is analyzed. Furthermore, analytical and numerical results show that the chaotic attractor of integer order, with D3 symmetries, looses its symmetry in the fractional-order variant.

kaaosteoriaGeneral Mathematicscomputational_mathematicscaputo delta fractional differencedihedral symmetry <i>D</i><sub>3</sub>attraktoritmatemaattinen analyysiNonlinear Sciences::Chaotic DynamicsbifurkaatioQA1-939Computer Science (miscellaneous)dihedral symmetry D3dynaamiset systeemitEngineering (miscellaneous)Mathematicsdiscrete fractional-order systemdiscrete fractional-order system; caputo delta fractional difference; hidden attractor; dihedral symmetry <i>D</i><sub>3</sub>hidden attractor
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Looking More Closely at the Rabinovich-Fabrikant System

2016

Recently, we looked more closely into the Rabinovich–Fabrikant system, after a decade of study [Danca &amp; Chen, 2004], discovering some new characteristics such as cycling chaos, transient chaos, chaotic hidden attractors and a new kind of saddle-like attractor. In addition to extensive and accurate numerical analysis, on the assumptive existence of heteroclinic orbits, we provide a few of their approximations.

Control of chaosheteroclinic orbitLIL numerical methodApplied Mathematicsta111Chaotictransient chaos01 natural sciencesRabinovich-Fabrikant system010305 fluids & plasmasNonlinear Sciences::Chaotic DynamicsClassical mechanicsModeling and Simulation0103 physical sciencesAttractorHeteroclinic orbitStatistical physicscycling chaos010301 acousticsEngineering (miscellaneous)MathematicsInternational Journal of Bifurcation and Chaos
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Rich dynamics and anticontrol of extinction in a prey-predator system

2019

This paper reveals some new and rich dynamics of a two-dimensional prey-predator system and to anticontrol the extinction of one of the species. For a particular value of the bifurcation parameter, one of the system variable dynamics is going to extinct, while another remains chaotic. To prevent the extinction, a simple anticontrol algorithm is applied so that the system orbits can escape from the vanishing trap. As the bifurcation parameter increases, the system presents quasiperiodic, stable, chaotic and also hyperchaotic orbits. Some of the chaotic attractors are Kaplan-Yorke type, in the sense that the sum of its Lyapunov exponents is positive. Also, atypically for undriven discrete sys…

PhysicsExtinctionPhase portraitApplied MathematicsMechanical EngineeringChaoticFOS: Physical sciencesAerospace EngineeringOcean EngineeringLyapunov exponentNonlinear Sciences - Chaotic Dynamics01 natural sciencesStrange nonchaotic attractorNonlinear Sciences::Chaotic Dynamicssymbols.namesakeControl and Systems EngineeringQuasiperiodic function0103 physical sciencesAttractorsymbolsStatistical physicsChaotic Dynamics (nlin.CD)Electrical and Electronic Engineering010301 acousticsBifurcation
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Complex dynamics, hidden attractors and continuous approximation of a fractional-order hyperchaotic PWC system

2018

In this paper, a continuous approximation to studying a class of PWC systems of fractionalorder is presented. Some known results of set-valued analysis and differential inclusions are utilized. The example of a hyperchaotic PWC system of fractional order is analyzed. It is found that without equilibria, the system has hidden attractors.

likiarvotFOS: Physical sciencesAerospace EngineeringattraktoritOcean EngineeringDynamical Systems (math.DS)hidden chaotic attractor01 natural sciences010305 fluids & plasmasDifferential inclusion0103 physical sciencesAttractorFOS: MathematicsApplied mathematicsOrder (group theory)Mathematics - Dynamical Systemsdynaamiset systeemitElectrical and Electronic Engineering010301 acousticsMathematicskaaosteoriaContinuous approximationmurtoluvutperiodicity of fractional-order systemPWC system of fractional orderApplied MathematicsMechanical EngineeringNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsComplex dynamicshyperchaosControl and Systems Engineeringcontinuous approximationapproksimointiChaotic Dynamics (nlin.CD)Nonlinear Dynamics
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Graphical Structure of Attraction Basins of Hidden Chaotic Attractors : The Rabinovich-Fabrikant System

2019

The attraction basin of hidden attractors does not intersect with small neighborhoods of any equilibrium point. To the best of our knowledge this property has not been explored using realtime interactive three-dimensions graphics. Aided by advanced computer graphic analysis, in this paper, we explore this characteristic of a particular nonlinear system with very rich and unusual dynamics, the Rabinovich–Fabrikant system. It is shown that there exists a neighborhood of one of the unstable equilibria within which the initial conditions do not lead to the considered hidden chaotic attractor, but to one of the stable equilibria or are divergent. The trajectories starting from any neighborhood o…

Computer Science::Computer Science and Game Theorykaaosteoriadata visualisationvisualisointihidden chaotic attractortietokonegrafiikkaRabinovich-Fabrikant system
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Attractor as a convex combination of a set of attractors

2021

This paper presents an effective approach to constructing numerical attractors of a general class of continuous homogenous dynamical systems: decomposing an attractor as a convex combination of a set of other existing attractors. For this purpose, the convergent Parameter Switching (PS) numerical method is used to integrate the underlying dynamical system. The method is built on a convergent fixed step-size numerical method for ODEs. The paper shows that the PS algorithm, incorporating two binary operations, can be used to approximate any numerical attractor via a convex combination of some existing attractors. Several examples are presented to show the effectiveness of the proposed method.…

continuous-time systemnumeeriset menetelmätMathematicsofComputing_NUMERICALANALYSISnumerical attractorattraktoritdynaamiset systeemitapproksimointiparameter switching
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Parameter Switching Synchronization

2016

In this paper we show how the Parameter Switching algorithm, utilized initially to approximate attractors of a general class of nonlinear dynamical systems, can be utilized also as a synchronization-induced method. Two illustrative examples are considered: the Lorenz system and the Rabinovich-Fabrikant system.

FOS: Physical sciencesChaotic Dynamics (nlin.CD)Nonlinear Sciences - Chaotic Dynamics
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Unusual dynamics and hidden attractors of the Rabinovich-Fabrikant system

2015

This paper presents some unusual dynamics of the Rabinovich-Fabrikant system, such as "virtual" saddles, "tornado"-like stable cycles and hidden chaotic attractors. Due to the strong nonlinearity and high complexity, the results are obtained numerically with some insightful descriptions and discussions.

Nonlinear Sciences::Chaotic DynamicsFOS: Physical sciencesChaotic Dynamics (nlin.CD)Nonlinear Sciences - Chaotic Dynamics
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