Search results for "Nonlinear system"

showing 10 items of 1446 documents

Turing pattern formation in the Brusselator system with nonlinear diffusion.

2013

In this work we investigate the effect of density dependent nonlinear diffusion on pattern formation in the Brusselator system. Through linear stability analysis of the basic solution we determine the Turing and the oscillatory instability boundaries. A comparison with the classical linear diffusion shows how nonlinear diffusion favors the occurrence of Turing pattern formation. We study the process of pattern formation both in 1D and 2D spatial domains. Through a weakly nonlinear multiple scales analysis we derive the equations for the amplitude of the stationary patterns. The analysis of the amplitude equations shows the occurrence of a number of different phenomena, including stable supe…

Mathematical analysisInner coreFOS: Physical sciencesPattern formationMathematical Physics (math-ph)Pattern Formation and Solitons (nlin.PS)Turing bifurcationNonlinear Sciences - Pattern Formation and SolitonsInstabilityDomain (mathematical analysis)Nonlinear systemBrusselatorAmplitudeActivator-Inhibitor kineticsPattern formationAmplitude equationSettore MAT/07 - Fisica MatematicaTuringcomputerMathematical Physicscomputer.programming_languageMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Numerical study of blow-up and dispersive shocks in solutions to generalized Korteweg–de Vries equations

2015

Abstract We present a detailed numerical study of solutions to general Korteweg–de Vries equations with critical and supercritical nonlinearity, both in the context of dispersive shocks and blow-up. We study the stability of solitons and show that they are unstable against being radiated away and blow-up. In the L 2 critical case, the blow-up mechanism by Martel, Merle and Raphael can be numerically identified. In the limit of small dispersion, it is shown that a dispersive shock always appears before an eventual blow-up. In the latter case, always the first soliton to appear will blow up. It is shown that the same type of blow-up as for the perturbations of the soliton can be observed whic…

Mathematical analysisMathematics::Analysis of PDEsStatistical and Nonlinear PhysicsContext (language use)Condensed Matter PhysicsStability (probability)Exponential functionNonlinear systemSingularitySolitonDispersion (water waves)Nonlinear Sciences::Pattern Formation and SolitonsScalingMathematical physicsMathematicsPhysica D: Nonlinear Phenomena
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Exact analytic expressions for electromagnetic propagation and optical nonlinear generation in finite one-dimensional periodic multilayers.

2004

Translation Matrix Formalism has been used to find an exact analytic solution for linear light propagation in a finite one-dimensional (1D) periodic stratified structure. This modal approach allows to derive a closed formula for the electric field in every point of the structure, by simply imposing a convenient form for the boundary conditions. We show how to apply this result to Second Harmonic Generation (SHG) in the undepleted pump regime.

Mathematical analysisPhysics::OpticsFOS: Physical sciencesNonlinear systemTransformation matrixModalLight propagationElectric fieldBoundary value problemElectromagnetic propagationAnalytic solutionMathematicsPhysics - OpticsOptics (physics.optics)Physical review. E, Statistical, nonlinear, and soft matter physics
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ON SOLVABILITY OF THE DAMPED FUČÍK TYPE PROBLEM WITH INTEGRAL CONDITION

2014

The solvability results are established for the boundary value problem with a damping term , x(0) = 0, where x + = max{x, 0}, x - = max{-x, 0}, h is a bounded nonlinearity, µ, λ real parameters. The existence results are based of the knowledge of the Fučík type spectrum for the problem with h ≡ 0

Mathematical analysisSpectrum (functional analysis)damping termType (model theory)Fučík problemspectrumTerm (time)Nonlinear systemregions of solvabilityModeling and SimulationBounded functionQA1-939Boundary value problemMathematicsAnalysisMathematicsMathematical Modelling and Analysis
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Soft Sensor Transferability between Lines of a Sulfur Recovery Unit

2021

Abstract Soft Sensors (SSs) are mathematical models that allow real-time estimation of hard-to-measure variables as a function of easy-to-measure ones in an industrial process, emulating the behavior of existing sensors when they are, for instance, taken off for maintenance. The Sulfur Recovery Unit (SRU) from a refinery is taken in exam. Recurrent Neural Networks (RNN) can capture the nonlinearity of such process but present a high complexity training and a very time-consuming structure optimization. For this reason, strategies to use pre-existing models are here examined by testing the transferability of the SSs between two parallel lines of the process.

Mathematical modelComputer sciencemedia_common.quotation_subjectProcess (computing)transferable soft sensor; nonlinear model; recurrent neural network; monitoring; prediction; inferential modelControl engineeringpredictionSoft sensorParallelRefineryNonlinear systemmonitoringRecurrent neural networkinferential modelControl and Systems Engineeringnonlinear modelrecurrent neural networkFunction (engineering)media_commontransferable soft sensor
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Elastoplastic analysis by active macro-zones with linear kinematic hardening and von Mises materials.

2014

In this paper a strategy to perform elastoplastic analysis with linear kinematic hardening for von Mises materials under plane strain conditions is shown. The proposed approach works with the Symmetric Galerkin Boundary Element Method applied to multidomain problems using a mixed variables approach, to obtain a more stringent solution. The elastoplastic analysis is carried out as the response to the loads and the plastic strains, the latter evaluated through the self-equilibrium stress matrix. This matrix is used both, in the predictor phase, for trial stress evaluation and, in the corrector phase, for solving a nonlinear global system which provides the elastoplastic solution of the active…

Mathematical optimizationApplied MathematicsComputational MathematicsNonlinear systemsymbols.namesakeMatrix (mathematics)Consistency (statistics)Multidomain SGBEM Self-equilibrium stressActive macro-zones Hardening von Mises materials Return mapping algorithm.Jacobian matrix and determinantsymbolsApplied mathematicsvon Mises yield criterionMultidomain SGBEM Self-equilibrium stress Active macro-zonesHardening von Mises materials Return mapping algorithmGalerkin methodSettore ICAR/08 - Scienza Delle CostruzioniBoundary element methodPlane stressMathematics
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Non-linear systems under parametric white noise input: digital simulation and response

2005

Abstract Monte Carlo technique is constituted of three steps. Therefore, improving such technique in practice means, improving the procedure used in one of the three following steps: (i) sample paths of the stochastic input process, (ii) calculation of the outputs corresponding to the generated input samples by using methods of classical dynamics and (iii) estimating statistics of the output process from sample outputs related to the previous step. For linear and non-linear systems driven by parametric impulsive inputs such as normal or non-normal white noises, a general integration method requires a considerable reduction of the integration step when the impulse occurs, treating the impuls…

Mathematical optimizationApplied MathematicsMechanical EngineeringMonte Carlo methodα-stable white noiseParametric impulseWhite noiseImpulse (physics)Poissonian white noiseWindow functionα-stable white noise; Normal white noise; Parametric impulse; Poissonian white noiseNonlinear systemMechanics of MaterialsMonte Carlo integrationQuasi-Monte Carlo methodAlgorithmParametric statisticsMathematicsNormal white noise
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EXPERIMENTAL PROPAGATION FAILURE IN A NONLINEAR ELECTRICAL LATTICE

2004

We consider an experimental setup, modeling the FitzHugh–Nagumo equation without recovery term and composed of a nonlinear electrical network made up of discrete bistable cells, resistively coupled. In the first place, we study experimentally the propagation of topological fronts in the continuum limit where the analytical solution can be obtained. We show that experimental results match the theoretical predictions. The discrete case is then investigated theoretically and in the lattice, emphasizing the pinning of traveling waves.

Mathematical optimizationBistabilityApplied MathematicsNonlinear latticeMechanicslaw.inventionNonlinear systemlawModeling and SimulationLattice (order)Electrical networkTraveling waveEngineering (miscellaneous)MathematicsInternational Journal of Bifurcation and Chaos
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State-Feedback Stabilization for a Class of Stochastic Feedforward Nonlinear Time-Delay Systems

2013

We investigate the state-feedback stabilization problem for a class of stochastic feedforward nonlinear time-delay systems. By using the homogeneous domination approach and choosing an appropriate Lyapunov-Krasovskii functional, the delay-independent state-feedback controller is explicitly constructed such that the closed-loop system is globally asymptotically stable in probability. A simulation example is provided to demonstrate the effectiveness of the proposed design method.

Mathematical optimizationClass (computer programming)Article SubjectApplied Mathematicslcsh:MathematicsFeed forwardState (functional analysis)lcsh:QA1-939Nonlinear systemControl theoryHomogeneousStability theoryAnalysisMathematicsAbstract and Applied Analysis
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Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization

2007

The algorithm described here, called OptQuest/NLP or OQNLP, is a heuristic designed to find global optima for pure and mixed integer nonlinear problems with many constraints and variables, where all problem functions are differentiable with respect to the continuous variables. It uses OptQuest, a commercial implementation of scatter search developed by OptTek Systems, Inc., to provide starting points for any gradient-based local solver for nonlinear programming (NLP) problems. This solver seeks a local solution from a subset of these points, holding discrete variables fixed. The procedure is motivated by our desire to combine the superior accuracy and feasibility-seeking behavior of gradie…

Mathematical optimizationComputer scienceModeling languageHeuristic (computer science)business.industrySmall numberGeneral EngineeringSolvercomputer.software_genreNonlinear programmingNonlinear systemArtificial intelligenceDifferentiable functionbusinessGlobal optimizationcomputerNatural language processingInteger (computer science)MathematicsINFORMS Journal on Computing
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