6533b7dcfe1ef96bd1272bc4
RESEARCH PRODUCT
Active controlled structural systems under delta-correlated random excitation: linear and nonlinear case
Antonina PirrottaMassimiliano Zingalessubject
Numerical AnalysisDynamical systems theoryStochastic processApplied MathematicsMonte Carlo methodStochastic analysisDynamical systemComputational methodNonlinear systemsymbols.namesakeControl theoryModeling and SimulationDynamic Monte Carlo methodTaylor seriessymbolsReduction (mathematics)Mathematicsdescription
Abstract Reduction of structural vibration in active controlled dynamical system is usually performed by means of convenient control forces dependent of the dynamic response. In this paper the existent studies will be extended to dynamical systems subjected to non-Gaussian random process accounting for the time delay involved in the application of active control actions. Control forces acting with time-delay effects will be expanded in Taylor series evaluating response statistics by means of the extended Ito differential rule to consider the effects of the non-normality of the input processes. Numerical application provided shows the feasibility of the proposed method to analyze stochastic dynamic systems with delayed actions under delta-correlated process contrasting statistics of response with estimates from Monte Carlo simulation.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-08-01 |