We obtain an upper bound for the accuracy of a modification of the finite-step dynamical reconstruction algorithm proposed by Yu. S. Osipov and A. V. Kryazhimskii for the unknown control in the dynamical system from inaccurate data on its trajectory We establish that, for the case in which the control is a function of bounded variation and the subspace of the image of the matrix of its coefficients has constant dimension, the asymptotic order in the metric of the space L1[a, b] of its accuracy with respect to the input error is 1/2. © 2010 Pleiades Publishing, Ltd
Our contribution is devoted to constructive approximations of a wide class of the modern control sys...
The problem of reconstruction of unknown characteristics of a nonlinear system is considered. Soluti...
As the systems we control become more complex, first-principle modeling becomes either impossible or...
In the paper, a modification of the dynamical algorithm by Yu.S. Osipov and A.V. Kryazhimskii is sug...
We consider dynamic reconstruction (DR) problems for controlled dynamical systems linear in controls...
Part 4: Stabilization, Feedback, and Model Predictive ControlInternational audienceWe discuss a prob...
From the viewpoint of the approach of the theory of dynamic inversion, an input reconstruction probl...
The paper is devoted to the problem of dynamic control reconstruction for controlled deterministic a...
This paper is devoted to inverse problems of the control theory, namely, the dynamic control reconst...
For some classes of systems described by ordinary differential equations, a survey of algorithms for...
Abstract: We consider algorithms for solving the problems of determining the motion parame...
AbstractWe present an algorithm for the identification of an unknown but bounded input to a nonlinea...
Abstract—We consider the problem of dynamic reconstruction of the input in a system de-scribed by a ...
The input reconstruction problem for a stochastic differential equation is investigated by means of ...
We discuss a problem of the dynamic reconstruction of unknown input controls in nonlinear vector equ...
Our contribution is devoted to constructive approximations of a wide class of the modern control sys...
The problem of reconstruction of unknown characteristics of a nonlinear system is considered. Soluti...
As the systems we control become more complex, first-principle modeling becomes either impossible or...
In the paper, a modification of the dynamical algorithm by Yu.S. Osipov and A.V. Kryazhimskii is sug...
We consider dynamic reconstruction (DR) problems for controlled dynamical systems linear in controls...
Part 4: Stabilization, Feedback, and Model Predictive ControlInternational audienceWe discuss a prob...
From the viewpoint of the approach of the theory of dynamic inversion, an input reconstruction probl...
The paper is devoted to the problem of dynamic control reconstruction for controlled deterministic a...
This paper is devoted to inverse problems of the control theory, namely, the dynamic control reconst...
For some classes of systems described by ordinary differential equations, a survey of algorithms for...
Abstract: We consider algorithms for solving the problems of determining the motion parame...
AbstractWe present an algorithm for the identification of an unknown but bounded input to a nonlinea...
Abstract—We consider the problem of dynamic reconstruction of the input in a system de-scribed by a ...
The input reconstruction problem for a stochastic differential equation is investigated by means of ...
We discuss a problem of the dynamic reconstruction of unknown input controls in nonlinear vector equ...
Our contribution is devoted to constructive approximations of a wide class of the modern control sys...
The problem of reconstruction of unknown characteristics of a nonlinear system is considered. Soluti...
As the systems we control become more complex, first-principle modeling becomes either impossible or...