Search results for "Linear"

showing 10 items of 7165 documents

Time delay induced effects on control of linear systems under random excitation

2001

Recursive formulas in terms of statistics of the response of linear systems with time delay under normal white noise input are developed. Two alternative methods are presented, in order to capture the time delay effects. The first is given in an approximate solution obtained by expanding the control force in a Taylor series. The second, available for the stationary solution (if it exists) gets the variance of the controlled system, with time delay in an analytical form. The efficacy loss in terms of statistics of the response is discussed in detail.

State variableMechanical EngineeringLinear systemApproximation theoryRecursive functionAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsWhite noiseVariance (accounting)White noiseCondensed Matter Physicssymbols.namesakeNuclear Energy and EngineeringControl theoryControl systemTaylor seriessymbolsDelay circuitExcitationCivil and Structural EngineeringMathematicsGroup delay and phase delayElectric excitation
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Observer-based control design for a class of nonlinear systems subject to unknown inputs: LMI approach

2015

This paper deals with the problem of observer-based controller design for a class of nonlinear systems subject to unknown inputs. A novel method is presented to design a controller using estimated state variables which guarantees all the state variables of the closed-loop system converge to the vicinity of the origin and stay there forever. This is done via satisfying several sufficient conditions in terms of nonlinear matrix inequalities. In light of linear algebra, particularly matrix decompositions, the achieved conditions will be converted to a Linear Matrix Inequality (LMI) problem to facilitate the procedure of computing the observer and controller gains. Finally, the effectiveness of…

State-transition matrixMathematical optimizationState variableObserver (quantum physics)ChaoticLinear matrix inequalityNonlinear systemControl theory[INFO.INFO-AU]Computer Science [cs]/Automatic Control EngineeringLinear algebraObserver based[INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringComputingMilieux_MISCELLANEOUSMathematics
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Magnus and Fer expansions for matrix differential equations: the convergence problem

1998

Approximate solutions of matrix linear differential equations by matrix exponentials are considered. In particular, the convergence issue of Magnus and Fer expansions is treated. Upper bounds for the convergence radius in terms of the norm of the defining matrix of the system are obtained. The very few previously published bounds are improved. Bounds to the error of approximate solutions are also reported. All results are based just on algebraic manipulations of the recursive relation of the expansion generators.

State-transition matrixMatrix differential equationMathematical analysisGeneral Physics and AstronomyStatistical and Nonlinear PhysicsGeneral MedicineMatrix (mathematics)Linear differential equationMagnus expansionDifferential algebraic equationUniversal differential equationMathematical PhysicsMathematicsStiffness matrixJournal of Physics A: Mathematical and General
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Probabilistic analysis of truss structures with uncertain parameters (virtual distortion method approach)

2004

A new approach for probabilistic characterization of linear elastic redundant trusses with uncertainty on the various members subjected to deterministic loads acting on the nodes of the structure is presented. The method is based on the simple observation that variations of structural parameters are equivalent to superimposed strains on a reference structure depending on the axial forces on the elastic modulus of the original structure as well as on the uncertainty (virtual distortion method approach). Superposition principle may be applied to separate contribution to mechanical response due to external loads and parameter variations. Statically determinate trusses dealt with the proposed m…

Statically indeterminatebusiness.industryMechanical EngineeringLinear elasticityProbabilistic logicAerospace EngineeringTrussTruss structureOcean EngineeringStatistical and Nonlinear PhysicsAsymptotic expansionStructural engineeringCondensed Matter PhysicsVirtual distortion methodSuperposition principleNuclear Energy and EngineeringDistortionUncertain structureProbabilistic analysis of algorithmsbusinessAsymptotic expansionSafety Risk Reliability and QualityCivil and Structural EngineeringMathematics
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EMERGENCE OF TRAVELLING WAVES IN SMOOTH NERVE FIBRES

2008

International audience; An approximate analytical solution characterizing initial condi- tions leading to action potential ¯ring in smooth nerve ¯bres is determined, using the bistable equation. In the ¯rst place, we present a non-trivial sta- tionary solution wave. Then, we extract the main features of this solution to obtain a frontier condition between the initiation of the travelling waves and a decay to the resting state. This frontier corresponds to a separatrix in the projected dynamics diagram depending on the width and the amplitude of the stationary wave.

StationarityBistability[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]01 natural sciencesNerve fibresStanding waveOptics[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP]0103 physical sciencesTraveling wave[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Discrete Mathematics and Combinatorics[MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematics010306 general physicsProjected dynamicsPhysicsSeparatrixbusiness.industry[SCCO.NEUR]Cognitive science/NeuroscienceApplied Mathematics[SCCO.NEUR] Cognitive science/NeuroscienceDiagramDynamics (mechanics)Mechanics010101 applied mathematics[NLIN.NLIN-CD] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Amplitude[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SCCO.NEUR ] Cognitive science/NeuroscienceAction potential firingbusinessAnalysis
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Stationary and non-stationary probability density function for non-linear oscillators

1997

A method for the evaluation of the stationary and non-stationary probability density function of non-linear oscillators subjected to random input is presented. The method requires the approximation of the probability density function of the response in terms of C-type Gram-Charlier series expansion. By applying the weighted residual method, the Fokker-Planck equation is reduced to a system of non-linear first order ordinary differential equations, where the unknowns are the coefficients of the series expansion. Furthermore, the relationships between the A-type and C-type Gram-Charlier series coefficient are derived.

Stationary distributionCharacteristic function (probability theory)Applied MathematicsMechanical EngineeringMathematical analysisProbability density functionStationary sequencestochastic non-linear dynamics; Gram-Charlier expansions; approximate probability density functionGram-Charlier expansionsMechanics of Materialsstochastic non-linear dynamicsProbability distributionProbability-generating functionapproximate probability density functionSeries expansionRandom variableMathematics
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Pruning Incremental Linear Model Trees with Approximate Lookahead

2014

Incremental linear model trees with approximate lookahead are fast, but produce overly large trees. This is due to non-optimal splitting decisions boosted by a possibly unlimited number of examples obtained from a data source. To keep the processing speed high and the tree complexity low, appropriate incremental pruning techniques are needed. In this paper, we introduce a pruning technique for the class of incremental linear model trees with approximate lookahead on stationary data sources. Experimental results show that the advantage of approximate lookahead in terms of processing speed can be further improved by producing much smaller and consequently more explanatory, less memory consumi…

Stationary processComputational Theory and MathematicsComputer scienceLinear modelPruning (decision trees)AlgorithmTree (graph theory)Computer Science ApplicationsInformation SystemsData modelingIEEE Transactions on Knowledge and Data Engineering
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Stability measures in metastable states with Gaussian colored noise

2009

We present a study of the escape time from a metastable state of an overdamped Brownian particle, in the presence of colored noise generated by Ornstein-Uhlenbeck process. We analyze the role of the correlation time on the enhancement of the mean first passage time through a potential barrier and on the behavior of the mean growth rate coefficient as a function of the noise intensity. We observe the noise enhanced stability effect for all the initial unstable states used, and for all values of the correlation time $\tau_c$ investigated. We can distinguish two dynamical regimes characterized by weak and strong correlated noise respectively, depending on the value of $\tau_c$ with respect to …

Statistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesFunction (mathematics)Stability (probability)Colors of noiseStochastic Mechanics Noise Nonlinear systemsMetastabilityRectangular potential barrierStatistical physicsGrowth rateFirst-hitting-time modelBrownian motionCondensed Matter - Statistical MechanicsMathematics
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Noise-enhanced stability of periodically driven metastable states

2000

We study the effect of noise-enhanced stability of periodically driven metastable states in a system described by piecewise linear potential. We find that the growing of the average escape time with the intensity of the noise is depending on the initial condition of the system. We analytically obtain the condition for the noise enhanced stability effect and verify it by numerical simulations.

Statistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesMechanicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksStability (probability)Piecewise linear functionControl theoryMetastabilityInitial value problemNoise (radio)Intensity (heat transfer)Condensed Matter - Statistical MechanicsMathematics
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Nonlinear response functions in an exponential trap model

2014

The nonlinear response to an oscillating field is calculated for a kinetic trap model with an exponential density of states and the results are compared to those for the model with a Gaussian density of states. The calculations are limited to the high temperature phase of the model. It is found that the results are qualitatively different only in a temperature range near the glass transition temperature $T_0$ of the exponential model. While for the Gaussian model the choice of the dynamical variable that couples to the field has no impact on the shape of the linear response, this is different for the exponential model. Here, it is found that also the relaxation time strongly depends on the …

Statistical Mechanics (cond-mat.stat-mech)Field (physics)Condensed matter physicsChemistryFOS: Physical sciencesCondensed Matter - Soft Condensed MatterCondensed Matter PhysicsKinetic energyElectronic Optical and Magnetic MaterialsExponential functionNonlinear systemCorrelation function (statistical mechanics)Computational chemistryMaterials ChemistryCeramics and CompositesSoft Condensed Matter (cond-mat.soft)Limit (mathematics)ScalingCondensed Matter - Statistical MechanicsVariable (mathematics)
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