Search results for "Random damped linear oscillators"

showing 2 items of 2 documents

Solving fully randomized higher-order linear control differential equations: Application to study the dynamics of an oscillator

2021

[EN] In this work, we consider control problems represented by a linear differential equation assuming that all the coefficients are random variables and with an additive control that is a stochastic process. Specifically, we will work with controllable problems in which the initial condition and the final target are random variables. The probability density function of the solution and the control has been calculated. The theoretical results have been applied to study, from a probabilistic standpoint, a damped oscillator.

Differential equationDynamics (mechanics)Computational MechanicsRandom damped linear oscillatorsRandom control differential equationComputational MathematicsComputational Theory and MathematicsRandom variable transformation techniqueApplied mathematicsOrder (group theory)First probability density functionMATEMATICA APLICADALinear controlMathematics
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Solving fully randomized first-order linear control systems: Application to study the dynamics of a damped oscillator with parametric noise under sto…

2022

[EN] This paper is devoted to study random linear control systems where the initial condition, the final target, and the elements of matrices defining the coefficients are random variables, while the control is a stochastic process. The so-called Random Variable Transformation technique is adapted to obtain closed-form expressions of the probability density functions of the solution and of the control. The theoretical findings are applied to study the dynamics of a damped oscillator subject to parametric noise.

Stochastic controlStochastic processApplied MathematicsRandom damped linear oscillatorsProbability density functionNoise (electronics)Computational MathematicsTransformation (function)Random control systemsInitial value problemApplied mathematicsFirst probability density functionMATEMATICA APLICADARandom variableRandom Variable Transformation techniqueMathematicsParametric statistics
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