A general algorithm for the direct inversion of data to yield unknown functions entering physical systems is presented. Of particular interest are linear and non-linear dynamical systems. The potential broad applicability of this method is examined in the context of a number of coefficient-recovery problems for partial differential equations. Stability issues are addressed and a stabilization approach, based on inverse asymptotic tracking, is proposed. Numerical examples for a simple illustration are presented, demonstrating the effectiveness of the algorithm
The model inversion approximation extracts parameters from within a nonlinear function so that they ...
Techniques and applications of inverse and identification problems are presented in this chapter. A ...
A new simplified behavior theory is proposed to address inversion-based control for linear, nonminim...
A pseudo-dynamical approach for a class of inverse problems involving static measurements is propose...
The inverse problems for dierential equations are investigated, the solutionsof which do not use inf...
In most geophysical forward problems, the data are related in a non-linear way to the model. Similar...
AbstractThis paper is concerned with a new method to solve a linearized inverse problem for one-dime...
The article considers dynamic identification of unknown characteristics in a third-order system. A r...
The article considers dynamic identification of unknown characteristics in a third-order system. A r...
The approximate inversion of an internally unknown linear system, given by its impulse response sequ...
From the viewpoint of the approach of the theory of dynamic inversion, an input reconstruction probl...
We present a technique for the rapid, reliable, and accurate evaluation of functional outputs of par...
This book presents a systematic exposition of the main ideas and methods in treating inverse problem...
A formal yet widely applicable definition of inversion is difficult to find; this has led to Flax et...
The input reconstruction problem for a stochastic differential equation is investigated by means of ...
The model inversion approximation extracts parameters from within a nonlinear function so that they ...
Techniques and applications of inverse and identification problems are presented in this chapter. A ...
A new simplified behavior theory is proposed to address inversion-based control for linear, nonminim...
A pseudo-dynamical approach for a class of inverse problems involving static measurements is propose...
The inverse problems for dierential equations are investigated, the solutionsof which do not use inf...
In most geophysical forward problems, the data are related in a non-linear way to the model. Similar...
AbstractThis paper is concerned with a new method to solve a linearized inverse problem for one-dime...
The article considers dynamic identification of unknown characteristics in a third-order system. A r...
The article considers dynamic identification of unknown characteristics in a third-order system. A r...
The approximate inversion of an internally unknown linear system, given by its impulse response sequ...
From the viewpoint of the approach of the theory of dynamic inversion, an input reconstruction probl...
We present a technique for the rapid, reliable, and accurate evaluation of functional outputs of par...
This book presents a systematic exposition of the main ideas and methods in treating inverse problem...
A formal yet widely applicable definition of inversion is difficult to find; this has led to Flax et...
The input reconstruction problem for a stochastic differential equation is investigated by means of ...
The model inversion approximation extracts parameters from within a nonlinear function so that they ...
Techniques and applications of inverse and identification problems are presented in this chapter. A ...
A new simplified behavior theory is proposed to address inversion-based control for linear, nonminim...