Add to ORKGIn this paper we consider the problem of modeling noninertial processes with stochastic dependence between the input variables. Such processes are called H-processes ("tubular" structure processes). A new class of parametric identification algorithms with the indicator function of multidimensional static objects is suggested to use. The results of some computational experiments are presented
We consider the identification of a Markov process {W_t, X^(*)_t} when only {W_t} is observed. In s...
This contribution reviews theory, algorithms, and validation results for system identification of co...
This book presents a treatise on the theory and modeling of second-order stationary processes, inclu...
In this paper we consider the problem of modeling noninertial processes with stochastic dependence b...
Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала
The problem of the discrete continuous processes having "tubular" structure in space "input-output" ...
The paper considers a problem of the new class processes modeling with “tubular” structure in the s...
The report considers the case when multidimensional memoryless objects have an unknown stochastic de...
The task of nonparametric identification of dynamic objects with discrete-continuous nature of the p...
The problem of nonlinear dynamical systems of Wiener type identification is considered. The parametr...
The problem of data processing and modeling for discrete and continuous processes widely used in va...
AbstractThe problem of multialternative recognition of nonstationary random processes is considered....
AbstractThe analysis of existing methods of nonparametric identification of dynamic systems is shown...
This contribution reviews theory, algorithms, and validation results for system identification of co...
The aim of the paper is short description of possibilities of data dependent systems (DDS) mathemati...
We consider the identification of a Markov process {W_t, X^(*)_t} when only {W_t} is observed. In s...
This contribution reviews theory, algorithms, and validation results for system identification of co...
This book presents a treatise on the theory and modeling of second-order stationary processes, inclu...
In this paper we consider the problem of modeling noninertial processes with stochastic dependence b...
Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала
The problem of the discrete continuous processes having "tubular" structure in space "input-output" ...
The paper considers a problem of the new class processes modeling with “tubular” structure in the s...
The report considers the case when multidimensional memoryless objects have an unknown stochastic de...
The task of nonparametric identification of dynamic objects with discrete-continuous nature of the p...
The problem of nonlinear dynamical systems of Wiener type identification is considered. The parametr...
The problem of data processing and modeling for discrete and continuous processes widely used in va...
AbstractThe problem of multialternative recognition of nonstationary random processes is considered....
AbstractThe analysis of existing methods of nonparametric identification of dynamic systems is shown...
This contribution reviews theory, algorithms, and validation results for system identification of co...
The aim of the paper is short description of possibilities of data dependent systems (DDS) mathemati...
We consider the identification of a Markov process {W_t, X^(*)_t} when only {W_t} is observed. In s...
This contribution reviews theory, algorithms, and validation results for system identification of co...
This book presents a treatise on the theory and modeling of second-order stationary processes, inclu...