Search results for "Bounded function"

showing 10 items of 508 documents

Modelling of Systems with a Dispersed Phase: “Measuring” Small Sets in the Presence of Elliptic Operators

2016

When modelling systems with a dispersed phase involving elliptic operators, as is the case of the Stokes or Navier-Stokes problem or the heat equation in a bounded domain, the geometrical structure of the space occupied by the dispersed phase enters in the homogenization process through its capacity, a quantity which can be used to define the equivalence classes in \(H^1\). We shall review the relationship between capacity and homogenization terms in the limit when the number of inclusions becomes large, focusing in particular on the situation where the distribution of inclusions is not necessarily too regular (i.e. it is not periodic).

Large number limitCapacityMathematical analysis010103 numerical & computational mathematics01 natural sciencesHomogenization (chemistry)010101 applied mathematicsTwo-component systemElliptic operatorBounded functionMathematics (all)Heat equation0101 mathematicsSettore MAT/07 - Fisica MatematicaMathematics
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Bounded Palais–Smale sequences for non-differentiable functions

2011

The existence of bounded Palais-Smale sequences (briefly BPS) for functionals depending on a parameter belonging to a real interval and which are the sum of a locally Lipschitz continuous term and of a convex, proper, lower semicontinuous function, is obtained when the parameter runs in a full measure subset of the given interval. Specifically, for this class of non-smooth functions, we obtain BPS related to mountain pass and to global infima levels. This is done by developing a unifying approach, which applies to both cases and relies on a suitable deformation lemma. © 2011 Elsevier Ltd. All rights reserved.

Lemma (mathematics)Pure mathematicsApplied MathematicsMathematical analysisNon-smooth functionsFunction (mathematics)Lipschitz continuityMeasure (mathematics)Infimum and supremumDeformationCritical pointBounded Palais-Smale sequenceBounded functionMountain pass geometryDifferentiable functionConvex functionAnalysisMathematicsNonlinear Analysis: Theory, Methods & Applications
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Unbounded Linear Operators in Hilbert Spaces

2002

In order to make this monograph self-contained, we summarize in this chapter some basic definitions and results for unbounded linear operators in a Hilbert space. In Section 1.1, we recall the definitions of C*-algebras and von Neumann algebras. In Section 1.2, we define and investigate the notion of closedness, the closure and the adjoint of an unbounded linear operator in a Hilbert space. Section 1.3 is devoted to the Cayley transform approach to the self-adjointness of a symmetric operator. Section 1.4 deals with the self-adjoint extendability of a symmetric operator with help of the deficiency spaces. In Section 1.5, we extend to unbounded self-adjoint operators the spectral theorem and…

Linear mapPure mathematicssymbols.namesakeRepresentation theoremBounded functionPolar decompositionHilbert spacesymbolsCayley transformSpectral theoremMathematics::Spectral TheoryMathematicsFunctional calculus
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Nonlinear Analysis of Phase-Locked Loop (PLL): Global Stability Analysis, Hidden Oscillations and Simulation Problems

2013

In the middle of last century the problem of analyzing hidden oscillations arose in automatic control. In 1956 M. Kapranov considered a two-dimensional dynamical model of phase locked-loop (PLL) and investigated its qualitative behavior. In these investigations Kapranov assumed that oscillations in PLL systems can be self-excited oscillations only. However, in 1961, N. Gubar’ revealed a gap in Kapranov’s work and showed analytically the possibility of the existence of another type of oscillations, called later by the authors hidden oscillations, in a phase-locked loop model: from a computational point of view the system considered was globally stable (all the trajectories tend to equilibria…

Loop (topology)Phase-locked loopNonlinear systembusiness.industryBounded functionPhase (waves)Artificial intelligenceHidden oscillationTopologybusinessStability (probability)BifurcationMathematics
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Finite-Time H∞ Filtering for T-S Fuzzy Discrete-Time Systems with Time-Varying Delay and Norm-Bounded Uncertainties

2015

In this paper, we investigate the filtering problem of discrete-time Takagi–Sugeno (T–S) fuzzy uncertain systems subject to time-varying delays. A reduced-order filter is designed. With the augmentation technique, a filtering error system with delayed states is obtained. In order to deal with time delays in system states, the filtering error system is first transformed into two interconnected subsystems. By using a two-term approximation for the time-varying delay, sufficient delay-dependent conditions of finite-time boundedness and $H_{\infty }$ performance of the filtering error system are derived with the Lyapunov function. Based on these conditions, the filter design methods are propose…

Lyapunov function0209 industrial biotechnology02 engineering and technologyFuzzy logicsymbols.namesake020901 industrial engineering & automationControl theoryArtificial Intelligence0202 electrical engineering electronic engineering information engineeringFiltering problemnorm-bounded uncertaintieslinear matrix inequalities (LMIs)T-S fuzzy systemMathematicsApplied MathematicsFilter (signal processing)Finite-time boundednesstime delayFilter designH-infinity methods in control theoryDiscrete time and continuous timeComputational Theory and MathematicsControl and Systems EngineeringBounded functionsymbols020201 artificial intelligence & image processingHâ filteringFinite-time boundedness; H∞ filtering; linear matrix inequalities (LMIs); norm-bounded uncertainties; T-S fuzzy system; time delay; Control and Systems Engineering; Computational Theory and Mathematics; Artificial Intelligence; Applied Mathematics
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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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Design of unknown inputs proportional integral observers for TS fuzzy models

2014

In this paper the design of unknown inputs proportional integral observers for Takagi-Sugeno (TS) fuzzy models subject to unmeasurable decision variables is proposed. These unknown inputs affect both state and output of the system. The synthesis of these observers is based on two hypotheses that the unknown inputs are under the polynomials form with their kth derivatives zero for the first one and bounded norm for the second one, hence two approaches. The Lyapunov theory and L"2-gain technique are used to develop the stability conditions of such observers in LMIs (linear matrix inequality) formulation. A simulation example is given to validate and compare the proposed design conditions for …

Lyapunov functionUnknown inputs reconstructionCognitive NeuroscienceLinear matrix inequalityComputer Science Applications1707 Computer Vision and Pattern RecognitionFuzzy logicComputer Science ApplicationsStability conditionssymbols.namesakeDecision variablesComputer Science::Systems and ControlArtificial IntelligenceControl theoryBounded functionNorm (mathematics)Unmeasurable decision variablessymbolsTS fuzzy modelsProportional integral observer; TS fuzzy models; Unknown inputs reconstruction; Unmeasurable decision variables; Artificial Intelligence; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive NeuroscienceProportional integral observerMathematicsNeurocomputing
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Adaptive neural state-feedback stabilizing controller for nonlinear systems with mismatched uncertainty

2014

In this paper, an adaptive neural network (NN) state-feedback controller for a class of nonlinear systems with mismatched uncertainties is presented. By using a radial basis (RBF) neural network, a bound of unknown nonlinear functions is approximated so that no information about the upper bound of mismatched uncertainties is required. The state-feedback is based on Lyapunov stability theory, and it is shown that the asymptotic convergence of the closed-loop system to zero is achieved while maintaining bounded states at the same time. The presented methods are more general than the previous approaches, handling systems with no restriction on the dimension of the system and the number of inpu…

Lyapunov stabilityNonlinear systemEngineeringArtificial neural networkControl theorybusiness.industryAdaptive systemBounded functionConvergence (routing)businessUpper and lower boundsProceeding of the 11th World Congress on Intelligent Control and Automation
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Faults diagnosis based on proportional integral observer for TS fuzzy model with unmeasurable premise variable

2014

In this work, we focus on the synthesis of a Proportional Integral (PI) observer for the actuators and sensors faults diagnosis based on Takagi-Sugeno (TS) fuzzy model with unmeasurable premise variables. The faults estimation method is based on the assumption that these faults act as unknown inputs under polynomials form whose their kth derivatives are bounded. The convergence conditions of the observer as well as the faults reconstruction are established on the basis of the Lyapunov stability theory and the L 2 optimization technique, expressed as Linear Matrix Inequalities (LMI) constraints. In order to validate the proposed approach, a hydraulic system with two tanks is proposed.

Lyapunov stabilityObserver (quantum physics)Basis (linear algebra)Applied MathematicsTheoretical Computer ScienceArtificial IntelligenceComputer Science::Systems and ControlControl theoryBounded functionConvergence (routing)Hydraulic machineryTheoretical Computer Science; Software; Artificial Intelligence; Applied MathematicsFocus (optics)SoftwareVariable (mathematics)Mathematics2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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From stationary state to endogenous growth: International trade in the mathematical formulation of the Ricardian system

2015

In his 1814–15 correspondence with Malthus and in his Essay on Profits, Ricardo championed the free importation of wage goods as a highly effective growth-enhancing policy. In order to capture this aspect in the mathematical formulation of the Ricardian system first introduced by Pasinetti in 1960 in the context of a closed economy, we produce a variant of that model where the economy is a small open one. We show that this economy is characterised by endogenous growth since the growth rate is bounded from below and we locate two thresholds concerning the allocation of labour among the two sectors of the economy and the pattern of international trade.

MacroeconomicsEconomics and Econometrics060106 history of social sciencesmedia_common.quotation_subjectWageContext (language use)International tradeInternational tradeRicardo Pasinetti international trade Ricardian growth model endogenous growth small open economy.Endogenous growth; International trade; Pasinetti; Ricardian growth model; Ricardo; Small open economy; Economics and EconometricsRicardian growth modelOrder (exchange)0502 economics and businessEconomics0601 history and archaeologySmall open economy050207 economicsSettore SECS-P/01 - Economia PoliticaClosed economyPasinettimedia_commonRicardoEndogenous growth theorybusiness.industryEconomic sector05 social sciences06 humanities and the artsEndogenous growthSettore SECS-P/04 - Storia Del Pensiero EconomicoBounded functionbusinessStationary state
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