Search results for "nonlinear"

showing 10 items of 3684 documents

State Space-Vector Model of Linear Induction Motors including End-Effects and Iron Losses Part I: Theoretical Analysis

2020

This is the first part of the article, divided into two parts, dealing with the definition of a space-vector dynamic model of the linear induction motor (LIM) taking into consideration both the dynamic end-effects and the iron losses and its offline identification. This first part specifically treats the theoretical formulation of this model, which has been expressed in a state form, so to be, in perspective, suitably adopted for developing novel nonlinear control techniques, nonlinear observers as well as electrical losses minimization techniques. Besides the formulation of the dynamic model in space-vector state form, a steady-state analysis is proposed, highlighting the combined effects …

Computer sciencestate modelend-effectsNonlinear controlIndustrial and Manufacturing EngineeringMagnetic fluxEnd-effectIdentification (information)Nonlinear systemPerspective (geometry)Settore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryLinear induction motorspace vectorState spacelinear induction motor (LIM)MinificationElectrical and Electronic Engineering
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An efficient swap algorithm for the lattice Boltzmann method

2007

During the last decade, the lattice-Boltzmann method (LBM) as a valuable tool in computational fluid dynamics has been increasingly acknowledged. The widespread application of LBM is partly due to the simplicity of its coding. The most well-known algorithms for the implementation of the standard lattice-Boltzmann equation (LBE) are the two-lattice and two-step algorithms. However, implementations of the two-lattice or the two-step algorithm suffer from high memory consumption or poor computational performance, respectively. Ultimately, the computing resources available decide which of the two disadvantages is more critical. Here we introduce a new algorithm, called the swap algorithm, for t…

Computer simulationComputer sciencebusiness.industryLattice Boltzmann methodsGeneral Physics and AstronomyComputational fluid dynamicsProgram optimizationNonlinear Sciences::Cellular Automata and Lattice GasesHigh memoryHardware and ArchitecturebusinessAlgorithmImplementationSwap (computer programming)Coding (social sciences)Computer Physics Communications
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A short survey on nonlinear models of the classic Costas loop: rigorous derivation and limitations of the classic analysis

2015

Rigorous nonlinear analysis of the physical model of Costas loop --- a classic phase-locked loop (PLL) based circuit for carrier recovery, is a challenging task. Thus for its analysis, simplified mathematical models and numerical simulation are widely used. In this work a short survey on nonlinear models of the BPSK Costas loop, used for pre-design and post-design analysis, is presented. Their rigorous derivation and limitations of classic analysis are discussed. It is shown that the use of simplified mathematical models, and the application of non rigorous methods of analysis (e.g., simulation and linearization) may lead to wrong conclusions concerning the performance of the Costas loop ph…

Computer simulationMathematical modelta213Computer scienceta111Phase locked loopsDynamical Systems (math.DS)SurveysSynchronizationLoop (topology)Phase-locked loopNonlinear systemLinearizationCostas loopFOS: MathematicsNonlinear systemsApplied mathematicsCarrier recoveryMathematics - Dynamical Systems
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Parallelization of Cellular Automata for Surface Reactions

2002

We present a parallel implementation of cellular automata to simulate chemical reactions on surfaces. The scaling of the computer time with the number of processors for this parallel implementation is quite close to the ideal T/P, where T is the computer time used for one single processor and P the number of processors. Two examples are presented to test the algorithm, the simple A+B->0 model and a realistic model for CO oxidation on Pt(110). By using large parallel simulations, it is possible to derive scaling laws which allow us to extrapolate to even larger system sizes and faster diffusion coefficients allowing us to make direct comparisons with experiments.

Condensed Matter - Materials ScienceCellular Automata and Lattice Gases (nlin.CG)Materials Science (cond-mat.mtrl-sci)FOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Computational Physics (physics.comp-ph)Nonlinear Sciences - Cellular Automata and Lattice GasesNonlinear Sciences - Pattern Formation and SolitonsPhysics - Computational Physics
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Probing phonon dynamics with multidimensional high harmonic carrier-envelope-phase spectroscopy

2022

We explore pump-probe high harmonic generation (HHG) from monolayer hexagonal-Boron-Nitride, where a terahertz pump excites coherent optical phonons that are subsequently probed by an intense infrared pulse that drives HHG. We find, through state-of-the-art ab-initio calculations, that the structure of the emission spectrum is attenuated by the presence of coherent phonons, and is no longer comprised of discrete harmonic orders, but rather of a continuous emission in the plateau region. The HHG yield strongly oscillates as a function of the pump-probe delay, corresponding to ultrafast changes in the lattice such as bond compression or stretching. We further show that in the regime where the…

Condensed Matter - Materials ScienceMultidisciplinarynonlinear opticsphononsMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesPhysics::OpticsElectron-phonon couplingSettore FIS/03 - Fisica Della Materiaultrafast spectroscopypump-robe spectroscopyPhysics::Atomic and Molecular ClustersHHGOptics (physics.optics)Physics - Optics
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Chaos in two-dimensional Kepler problem with spin-orbit coupling

2017

We consider classical two-dimensional Kepler system with spin-orbit coupling and show that at a sufficiently strong coupling it demonstrates a chaotic behavior. The chaos emerges since the spin-orbit coupling reduces the number of the integrals of motion as compared to the number of the degrees of freedom. This reduction is manifested in the equations of motion as the emergence of the anomalous velocity determined by the spin orientation. By using analytical and numerical arguments, we demonstrate that the chaotic behavior, being driven by this anomalous term, is related to the system energy dependence on the initial spin orientation. We observe the critical dependence of the dynamics on th…

Condensed Matter - Mesoscale and Nanoscale PhysicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)FOS: Physical sciencesChaotic Dynamics (nlin.CD)Nonlinear Sciences - Chaotic Dynamics
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Maxwell's equations approach to soliton excitations of surface plasmonic resonances

2012

We demonstrate that soliton-plasmon bound states appear naturally as propagating eigenmodes of nonlinear Maxwell's equations for a metal/dielectric/Kerr interface. By means of a variational method, we give an explicit and simplified expression for the full-vector nonlinear operator of the system. Soliplasmon states (propagating surface soliton-plasmon modes) can be then analytically calculated as eigenmodes of this non-selfadjoint operator. The theoretical treatment of the system predicts the key features of the stationary solutions and gives physical insight to understand the inherent stability and dynamics observed by means of finite element numerical modeling of the time independent nonl…

Condensed Matter - Other Condensed MatterPhysics::OpticsFOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Nonlinear Sciences - Pattern Formation and SolitonsPhysics - OpticsOptics (physics.optics)Other Condensed Matter (cond-mat.other)
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Percolation on correlated random networks

2011

We consider a class of random, weighted networks, obtained through a redefinition of patterns in an Hopfield-like model and, by performing percolation processes, we get information about topology and resilience properties of the networks themselves. Given the weighted nature of the graphs, different kinds of bond percolation can be studied: stochastic (deleting links randomly) and deterministic (deleting links based on rank weights), each mimicking a different physical process. The evolution of the network is accordingly different, as evidenced by the behavior of the largest component size and of the distribution of cluster sizes. In particular, we can derive that weak ties are crucial in o…

Condensed Matter Physics; Statistical and Nonlinear Physics; Statistics and ProbabilityStatistics and ProbabilitySocial and Information Networks (cs.SI)FOS: Computer and information sciencesRandom graphDiscrete mathematicsPhysics - Physics and SocietyStatistical Mechanics (cond-mat.stat-mech)Interdependent networksFOS: Physical sciencesComputer Science - Social and Information NetworksStatistical and Nonlinear PhysicsPercolation thresholdPhysics and Society (physics.soc-ph)Complex networkCondensed Matter PhysicsGiant componentPercolationContinuum percolation theoryStatistical physicsCondensed Matter - Statistical MechanicsClustering coefficientMathematicsPhysical Review E
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Organization and evolution of synthetic idiotypic networks

2012

We introduce a class of weighted graphs whose properties are meant to mimic the topological features of idiotypic networks, namely the interaction networks involving the B-core of the immune system. Each node is endowed with a bit-string representing the idiotypic specificity of the corresponding B cell and a proper distance between any couple of bit-strings provides the coupling strength between the two nodes. We show that a biased distribution of the entries in bit-strings can yield fringes in the (weighted) degree distribution, small-worlds features, and scaling laws, in agreement with experimental findings. We also investigate the role of ageing, thought of as a progressive increase in …

Condensed Matter Physics; Statistical and Nonlinear Physics; Statistics and ProbabilityTime FactorsTime FactorDistribution (number theory)Molecular Networks (q-bio.MN)FOS: Physical sciencesBit arrayThermodynamicComputer GraphicsCluster AnalysisHumansQuantitative Biology - Molecular NetworksMathematicsDiscrete mathematicsB-LymphocytesCluster AnalysiDegree (graph theory)Percolation (cognitive psychology)B-LymphocyteModels ImmunologicalGraph theoryDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksComputer GraphicDegree distributionFOS: Biological sciencesImmune SystemCore (graph theory)ThermodynamicsNode (circuits)Human
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Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey

2019

This paper provides an overview of numerical methods in order to solve fuzzy equations (FEs). It focuses on different numerical methodologies to solve FEs, dual fuzzy equations (DFEs), fuzzy differential equations (FDEs) and partial fuzzy differential equations (PFDEs). The solutions which are produced by these equations are taken to be the controllers. This paper also analyzes the existence of the roots of FEs and some important implementation problems. Finally, several examples are reviewed with different methods.

Condensed Matter::Quantum GasesComputer scienceNumerical analysisFuzzy differential equations010103 numerical & computational mathematics02 engineering and technologyFuzzy control system01 natural sciencesFuzzy logicDual (category theory)Nonlinear systemComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION0202 electrical engineering electronic engineering information engineeringApplied mathematics020201 artificial intelligence & image processing0101 mathematics
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