نتایج جستجو برای: discrete lumping model
تعداد نتایج: 2219887 فیلتر نتایج به سال:
Explicit time integration schemes coupled with Galerkin discretizations of time-dependent partial differential equations require solving a linear system the mass matrix at each step. For applications in structural dynamics, solution is frequently approximated through so-called lumping, which consists replacing by some diagonal approximation. Mass lumping has been widely used engineering practic...
The telephone sound effect is widely used in music, television and the film industry. This paper presents a digital model of the carbon microphone nonlinearity which can be used to produce a vintage telephone sound effect. The model is constructed based on measurements taken from a real carbon microphone. The proposed model is a modified version of the sandwich model previously used for nonline...
Optimal discrete-time control of linear systems has been presented already. There are some difficulties to design an optimal discrete-time control of robot manipulator since the robot manipulator is highly nonlinear and uncertain. This paper presents a novel robust optimal discrete-time control of electrically driven robot manipulators for performing repetitive tasks. The robot performs repetit...
The immersed finite element-finite difference (IFED) method is a computational approach to modeling interactions between fluid and an structure. This uses element (FE) approximate the stresses forces on structural mesh (FD) momentum of entire fluid-structure system Cartesian grid. fundamental used by this follows boundary framework for interaction (FSI), in which force spreading operator prolon...
The analysis of discrete mixed responses is an important statistical issue in various sciences. Ordinal and overdispersed binomial variables are discrete. Overdispersed binomial data are a sum of correlated Bernoulli experiments with equal success probabilities. In this paper, a joint model with random effects is proposed for analyzing mixed overdispersed binomial and ordinal longitudinal respo...
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