Search results for "dynaamiset systeemit"

showing 10 items of 20 documents

Analytical-numerical methods for finding hidden oscillations in dynamical systems

2012

Chua's circuithidden attractorselektroniset piiritChuan piiriattraktoritdynaamiset systeemitlocalizationoskillaattoritlaskentamenetelmät
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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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Dynamics of the Shapovalov mid-size firm model

2020

Forecasting and analyses of the dynamics of financial and economic processes such as deviations of macroeconomic aggregates (GDP, unemployment, and inflation) from their long-term trends, asset markets volatility, etc., are challenging because of the complexity of these processes. Important related research questions include, first, how to determine the qualitative properties of the dynamics of these processes, namely, whether the process is stable, unstable, chaotic (deterministic), or stochastic; and second, how best to estimate its quantitative indicators including dimension, entropy, and correlation characteristics. These questions can be studied both empirically and theoretically. In t…

Lyapunov functionDynamical systems theoryComputer sciencechaosGeneral MathematicsFOS: Physical sciencesGeneral Physics and AstronomyforecastingLyapunov exponent01 natural sciencesmid-size firm modelChaos theory010305 fluids & plasmassymbols.namesakemultistability0103 physical sciencesAttractorApplied mathematicsEntropy (information theory)taloudelliset mallitdynaamiset systeemit010301 acousticsMultistabilityLyapunov stabilitykaaosteoriaApplied MathematicsLyapunov exponentstaloudelliset ennusteetStatistical and Nonlinear Physicsabsorbing setNonlinear Sciences - Chaotic Dynamicsglobal stabilitytalousmatematiikkasymbolsChaotic Dynamics (nlin.CD)
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Study of irregular dynamics in an economic model: attractor localization and Lyapunov exponents

2021

Cyclicity and instability inherent in the economy can manifest themselves in irregular fluctuations, including chaotic ones, which significantly reduces the accuracy of forecasting the dynamics of the economic system in the long run. We focus on an approach, associated with the identification of a deterministic endogenous mechanism of irregular fluctuations in the economy. Using of a mid-size firm model as an example, we demonstrate the use of effective analytical and numerical procedures for calculating the quantitative characteristics of its irregular limiting dynamics based on Lyapunov exponents, such as dimension and entropy. We use an analytical approach for localization of a global at…

Lyapunov functionGeneral MathematicsChaoticFOS: Physical sciencesGeneral Physics and AstronomyattraktoritAbsorbing set (random dynamical systems)Lyapunov exponentInstabilitysymbols.namesakeDimension (vector space)AttractorApplied mathematicsEntropy (information theory)taloudelliset mallitdynaamiset systeemitMathematicskaaosteoriaApplied MathematicsLyapunov exponentstaloudelliset ennusteetkausivaihtelutStatistical and Nonlinear PhysicsAbsorbing setNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsMid-size firm modelLyapunov dimensionsymbolsUnstable periodic orbitChaotic Dynamics (nlin.CD)Chaos, Solitons & Fractals
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Exponential Transients in Continuous-Time Symmetric Hopfield Nets

2001

We establish a fundamental result in the theory of continuous-time neural computation, by showing that so called continuous-time symmetric Hopfield nets, whose asymptotic convergence is always guaranteed by the existence of a Liapunov function may, in the worst case, possess a transient period that is exponential in the network size. The result stands in contrast to e.g. the use of such network models in combinatorial optimization applications. peerReviewed

Lyapunov functionHopfield netsstabilityneural networksExponential functionHopfield networksymbols.namesakeModels of neural computationRecurrent neural networkConvergence (routing)symbolsApplied mathematicsCombinatorial optimizationdynaamiset systeemitAlgorithmMathematicsNetwork model
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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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Hidden attractors and multistability in a modified Chua’s circuit

2021

The first hidden chaotic attractor was discovered in a dimensionless piecewise-linear Chua’s system with a special Chua’s diode. But designing such physical Chua’s circuit is a challenging task due to the distinct slopes of Chua’s diode. In this paper, a modified Chua’s circuit is implemented using a 5-segment piecewise-linear Chua’s diode. In particular, the coexisting phenomena of hidden attractors and three point attractors are noticed in the entire period-doubling bifurcation route. Attraction basins of different coexisting attractors are explored. It is demonstrated that the hidden attractors have very small basins of attraction not being connected with any fixed point. The PSIM circui…

Nonlinear Sciences::Chaotic Dynamicsinitial conditionkaaosteoriaChua’s circuitChua’s diodechaosmultistabilityelektroniset piiritattraktoritmatemaattiset mallitdynaamiset systeemitattraction basinhidden attractor
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Existence of homoclinic orbits and heteroclinic cycle in a class of three-dimensional piecewise linear systems with three switching manifolds

2020

In this article, we construct a kind of three-dimensional piecewise linear (PWL) system with three switching manifolds and obtain four theorems with regard to the existence of a homoclinic orbit and a heteroclinic cycle in this class of PWL system. The first theorem studies the existence of a heteroclinic cycle connecting two saddle-foci. The existence of a homoclinic orbit connecting one saddle-focus is investigated in the second theorem, and the third theorem examines the existence of a homoclinic orbit connecting another saddle-focus. The last one proves the coexistence of the heteroclinic cycle and two homoclinic orbits for the same parameters. Numerical simulations are given as example…

Nonlinear Sciences::Chaotic DynamicskaaosteoriaMathematics::Dynamical Systemsdynaamiset systeemit
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Numerical analysis of dynamical systems : unstable periodic orbits, hidden transient chaotic sets, hidden attractors, and finite-time Lyapunov dimens…

2019

In this article, on the example of the known low-order dynamical models, namely Lorenz, Rössler and Vallis systems, the difficulties of reliable numerical analysis of chaotic dynamical systems are discussed. For the Lorenz system, the problems of existence of hidden chaotic attractors and hidden transient chaotic sets and their numerical investigation are considered. The problems of the numerical characterization of a chaotic attractor by calculating finite-time time Lyapunov exponents and finite-time Lyapunov dimension along one trajectory are demonstrated using the example of computing unstable periodic orbits in the Rössler system. Using the example of the Vallis system describing the El…

Nonlinear Sciences::Chaotic Dynamicskaaosteoriahidden attractorsunstable periodic orbitsnumeerinen analyysihidden transient chaotic setsdynaamiset systeemitfinite-time Lyapunov dimension
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Harmonic Balance Method and Stability of Discontinuous Systems

2019

The development of the theory of discontinuous dynamical systems and differential inclusions was not only due to research in the field of abstract mathematics but also a result of studies of particular problems in mechanics. One of first methods, used for the analysis of dynamics in discontinuous mechanical systems, was the harmonic balance method developed in the thirties of the 20th century. In our work the results of analysis obtained by the method of harmonic balance, which is an approximate method, are compared with the results obtained by rigorous mathematical methods and numerical simulation. peerReviewed

advanced machinesdynamics and controladvanced structuresstabilitynonlinear systemsdynaamiset systeemit
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