Search results for "AOT"

showing 10 items of 347 documents

Robust H∞ synchronization of a hyper-chaotic system with disturbance input

2013

Abstract This paper concerns the robust control problems on the synchronization of a hyper-chaotic system with disturbance input. Using an appropriate Lyapunov function, we design the multi-dimensional and the single-dimensional robust H ∞ synchronization controllers in terms of linear matrix inequalities for the application in practical engineering. Corresponding theoretical derivations are given subsequently. Finally, some numerical simulations are provided to demonstrate the effectiveness of the proposed techniques.

Lyapunov functionDisturbance (geology)Computer scienceApplied MathematicsGeneral EngineeringChaoticGeneral MedicineLinear matrixSynchronizationComputational Mathematicssymbols.namesakeH-infinity methods in control theoryControl theorysymbolsRobust controlGeneral Economics Econometrics and FinanceAnalysis
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-Infinity robust controller design for the synchronization of master-slave chaotic systems with disturbance input

2012

Published version of an article from the journal: Modeling, Identification and Control. Also available from the publisher: http://dx.doi.org/10.4173/mic.2012.1.3 This paper is concerned with the robust control problems for the synchronization of master-slave chaotic systems with disturbance input. By constructing a series of Lyapunov functions, novel H1 robust syn- chronization controllers are designed, whose control regulation possess the characteristic of simpleness and explicitness. Finally, numerical simulations are provided to demonstrate the e ectiveness of the proposed techniques.

Lyapunov functionDisturbance (geology)Series (mathematics)Computer scienceVDP::Technology: 500::Mechanical engineering: 570Robust controlMaster/slavelcsh:QA75.5-76.95Computer Science Applicationssymbols.namesakeH-infinity methods in control theoryControl and Systems EngineeringControl theoryChaotic systemsModeling and SimulationSynchronization (computer science)symbolsChaoslcsh:Electronic computers. Computer scienceRobust controlSoftwareModeling, Identification and Control: A Norwegian Research Bulletin
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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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Numerical analysis of dynamical systems: unstable periodic orbits, hidden transient chaotic sets, hidden attractors, and finite-time Lyapunov dimensi…

2018

In this article, on the example of the known low-order dynamical models, namely Lorenz, Rossler 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 Rossler system. Using the example of the Vallis system describing the El…

Lyapunov functionHistoryMathematics::Dynamical SystemsDynamical systems theoryNumerical analysisChaoticFOS: Physical sciencesLyapunov exponentLorenz systemNonlinear Sciences - Chaotic DynamicsComputer Science ApplicationsEducationNonlinear Sciences::Chaotic Dynamicssymbols.namesakeAttractorsymbolsTrajectoryApplied mathematicsChaotic Dynamics (nlin.CD)Mathematics
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Observer-based adaptive stabilization of a class of uncertain nonlinear systems

2014

In this paper, an adaptive output feedback stabilization method for a class of uncertain nonlinear systems is presented. Since this approach does not require any information about the bound of uncertainties, this information is not needed a priori and a mechanism for its estimation is exploited. The adaptation law is obtained using the Lyapunov direct method. Since all the states are not measurable, an observer is designed to estimate unmeasurable states for stabilization. Therefore, in the design procedure, first an observer is designed and then the control signal is constructed based on the estimated states and adaptation law with the σ-modification algorithm. The uniformly ultimately bou…

Lyapunov functionMathematical optimizationControl and OptimizationAdaptive controlObserver (quantum physics)Chaoticsymbols.namesakeNonlinear systemArtificial IntelligenceControl and Systems EngineeringControl theorysymbolsA priori and a posterioriLyapunov redesignAdaptation (computer science)MathematicsSystems Science & Control Engineering
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Finite-time Lyapunov dimension and hidden attractor of the Rabinovich system

2015

The Rabinovich system, describing the process of interaction between waves in plasma, is considered. It is shown that the Rabinovich system can exhibit a {hidden attractor} in the case of multistability as well as a classical {self-excited attractor}. The hidden attractor in this system can be localized by analytical-numerical methods based on the {continuation} and {perpetual points}. For numerical study of the attractors' dimension the concept of {finite-time Lyapunov dimension} is developed. A conjecture on the Lyapunov dimension of self-excited attractors and the notion of {exact Lyapunov dimension} are discussed. A comparative survey on the computation of the finite-time Lyapunov expon…

Lyapunov functionMathematics::Dynamical SystemsChaoticAerospace EngineeringFOS: Physical sciencesOcean EngineeringLyapunov exponent01 natural sciences010305 fluids & plasmasadaptive algorithmssymbols.namesakehidden attractorsDimension (vector space)0103 physical sciencesAttractorApplied mathematicsElectrical and Electronic Engineering010301 acousticsMultistabilityMathematicsAdaptive algorithmApplied MathematicsMechanical EngineeringNumerical analysisNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsControl and Systems EngineeringLyapunov dimensionsymbolsperpetual pointsChaotic Dynamics (nlin.CD)finite-time Lyapunov exponents
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Invariance of Lyapunov exponents and Lyapunov dimension for regular and irregular linearizations

2014

Nowadays the Lyapunov exponents and Lyapunov dimension have become so widespread and common that they are often used without references to the rigorous definitions or pioneering works. It may lead to a confusion since there are at least two well-known definitions, which are used in computations: the upper bounds of the exponential growth rate of the norms of linearized system solutions (Lyapunov characteristic exponents, LCEs) and the upper bounds of the exponential growth rate of the singular values of the fundamental matrix of linearized system (Lyapunov exponents, LEs). In this work the relation between Lyapunov exponents and Lyapunov characteristic exponents is discussed. The invariance…

Lyapunov functionMathematics::Dynamical SystemsComputationFOS: Physical sciencesAerospace EngineeringOcean EngineeringDynamical Systems (math.DS)Lyapunov exponent01 natural sciencessymbols.namesakeExponential growthComputer Science::Systems and Control0103 physical sciencesFOS: MathematicsApplied mathematics0101 mathematicsElectrical and Electronic EngineeringMathematics - Dynamical Systems010301 acousticsMathematicsApplied MathematicsMechanical Engineering010102 general mathematicsNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsSingular valueFundamental matrix (linear differential equation)Control and Systems EngineeringsymbolsDiffeomorphismChaotic Dynamics (nlin.CD)Characteristic exponent
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Chaotic Scattering in the Gaussian Potential

1995

It is well known that general classical Hamiltonian dynamical systems have as a rule chaotic behaviour. By such a term one usually understands a sensitive dependence on initial conditions which manifests itself in the topology of phase space. For the most studied case of bounded motions this behaviour is detected, for example, by analysing the Poincare surfaces of section and by calculating Lyapunov characteristic exponents. The question then naturally arises of what are the effects of this complexity on the unbounded motions, i.e., on scattering phenomena. The signature of chaotic dynamics in these scattering regions of phase space has been the object of several papers appeared mainly in t…

Lyapunov functionPhysicssymbols.namesakeClassical mechanicsDynamical systems theoryBounded functionChaotic scatteringPhase spacesymbolsChaoticCovariant Hamiltonian field theoryHamiltonian (quantum mechanics)
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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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