— For robotic manipulators that are redundant or with high degrees of freedom, an analytical solution to the inverse kinematics is very difficult or impossible. As alternative approaches, neural networks and optimal search methods have been widely used for inverse kinematics modeling and control in robotics. This paper presents a first analytical solution to the inverse kinematics of a widely u...

The main purpose of this investigation is to study the effect of near miscible CO2 injection in different porous mediums on both lab and field scales. This effect can be traced by the change of two-phase gas-oil relative permeability curves. In this work, the experiments have been performed on three rock types (i.e. sandstone, dolomite, and artificial fractured sandstone) based on an incrementa...

ABSTRACT Many image processing problems can be presented as inverse problems by modeling the relation of the observed image to the unknown desired features explicitly. Some of these problems are naturally presented as inverse problems such as restoration of blurred images (deconvolution) or image reconstruction in computed tomography. For some others, we need to translate the original problem a...

This paper focuses on adaptive motor control in the kinematic domain. Several motor learning strategies from the literature are adopted to kinematic problems: “feedback-error learning”, “distal supervised learning”, and “direct inverse modeling”. One of these learning strategies, direct inverse modeling, is significantly enhanced by combining it with abstract recurrent neural networks. Moreover...

Parameter estimation by inverse modeling involves the repeated evaluation of a function of residuals. These residuals represent both errors in the model and errors in the data. In practical applications of inverse modeling of multiphase flow and transport, the error structure of the final residuals often significantly deviates from the statistical assumptions that underlie standard maximum like...

in this study, hydrus2d/3d software was used to estimate the hydraulic parameters of van genuchten-mualem model via inverse modeling using double-ring infiltrometers data in 3 different soil textures. nine scenarios of inverse modeling (divided in three groups) were considered with different number (5, 4 and 3) of fitted hydraulic parameters for optimization. in the first group, simulation was ...