A novel technique to achieve output tracking via stable inversion of non-minimum phase linear systems is presented wherein the desired signal is obtained from field measurements, and hence corrupted by noise. The earlier approach to stable inversion does not take into account the noise in the system. The unknown input decoupled observer approach is applicable only to minimum phase systems. More...

We define and analyze a linear transformation – the heat transform – that allows to map solutions of hyperbolic equations to solutions of corresponding parabolic equations. The inversion of this mapping can be used to transform an inverse problem for the heat equation to a similar problem for the wave equation. This work is motivated by problems of finding interfaces, boundaries and associated ...

The time-dependent inverse source problem with far-field data is investigated within a limited-view Radon inversion framework, analogous to that of a limited-view computed tomography reconstruction problem. We investigate the domains in the Radon and Fourier spaces within which data are available for the reconstruction of the space–time structure of the source. Using a linear inversion formalis...

This paper tests a methodology for tsunami waveform inversion, based on the adjoint method. The method is designed to perform the direct optimization of the tsunami fault parameters, from tide-gauge data, imposing strong geophysical constrains to the inverted solutions, leading to a substantial enhancement of the signal-to-noise ratio, when compared with the classical technique based on Green’s...

this study investigated the effectiveness of individual and collaborative outputbasedfocus-on-form instructional tasks on the acquisition of english inversionstructures by efl learners. moreover, it explored the developmental trend oflearners’ inversion acquisition. to this end, 60 homogeneous efl learners wereassigned to individual and collaborative output groups. they were exposed to textsenc...

In this paper, we present a one-dimensional (1-D) inversion algorithm for triaxial induction logging tools in multi-layered transverse isotropic (TI) formation. A non-linear least-square model based on Gauss-Newton algorithm is used in the inversion. Cholesky factorization is implemented to improve the stability and the reliability of the inversion. Zero-D inversion is conducted at the center o...

inverse modeling is one of the most elegant geophysical tools for obtaining 2-d and 3-d images of geological structure. determination of the geometry of bedrock, by nonlinear inverse modeling of gravity data, is the aim of this paper. the algorithm uses a nonlinear iterative procedure for simulation of bedrock geometry. at the first step, the nonlinear problem changes to a linear problem by a p...

We present in this work a new procedure to separate extraction of the series resistance and the mobility degradation factor in ultra thin MOSFETs. The method is based on the manipulation of the exponential model of effective mobility and extraction different parameters using a non linear fit of the experimental characteristic Id (Vg) measured in strong inversion at small drain bias. The results...

Two FORTRAN IV algorithms are given for determining the two axial ratios of a macromolecule (as modelled by a tri-axial ellipsoid) from its hydrodynamic parameters. The first involves a simple graphical inversion procedure of the volume independent V and R functions but can only be applied to a restricted range of macromolecules. The second algorithm is more general and involves an R-function c...