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Solving fully randomized higher‐order linear control differential equations: Application to study the dynamics of an oscillator
Author(s) -
Cortés JuanCarlos,
NavarroQuiles Ana,
Romero JoséVicente,
Roselló MaríaDolores
Publication year - 2021
Publication title -
computational and mathematical methods
Language(s) - English
Resource type - Journals
ISSN - 2577-7408
DOI - 10.1002/cmm4.1163
Subject(s) - linear differential equation , stochastic differential equation , mathematics , probability density function , probabilistic logic , work (physics) , differential equation , random variable , control variable , control theory (sociology) , control (management) , mathematical analysis , computer science , physics , statistics , artificial intelligence , thermodynamics
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.

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