The problem of constructing functional optimal observers (filters) for stochastic control systems with additive noises in discrete time are studied in this work. Under the assumption that there is no filter of the first order, necessary and sufficient conditions for the existence of filters of the second and third order are obtained in the canonical basis. Analytical expressions of the transfer function matrix from the input noise to the estimation error are presented. A numerical example is given to compare the performance of filters by the quadratic criterion in the steady state
We develop an optimal quantization approach for numerically solving nonlinear filtering problems ass...
We consider the problem of approximating optimal in the MMSE sense non-linear filters in a discrete ...
An application of the theory of conditionally Gaussian random processes to filtering and stochastic ...
Optimal filtering applied to stationary and non-stationary signals provides the most efficient means...
An approach to nonlinear filtering theory is developed in which finitely additive white noise replac...
Summarization: The problem of estimation and control for systems with multiplicative noise and unkno...
In this paper, we consider a problem of the estimation for the stochastic system with multiplicative...
This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic...
AbstractA result of Godambe [1] on optimal combination of estimating functions for discrete time sto...
The locally optimal filter is designed for a class of discrete-time systems subject to stochastic no...
This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic...
International audienceThis paper presents a new theorem to guarantee the almost sure exponential sta...
The objectives of this paper are to provide a systematic analytical approach to the synthesis of con...
This item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution...
We have conducted the optimal synthesis of rootmean- squared objective filter to estimate the state ...
We develop an optimal quantization approach for numerically solving nonlinear filtering problems ass...
We consider the problem of approximating optimal in the MMSE sense non-linear filters in a discrete ...
An application of the theory of conditionally Gaussian random processes to filtering and stochastic ...
Optimal filtering applied to stationary and non-stationary signals provides the most efficient means...
An approach to nonlinear filtering theory is developed in which finitely additive white noise replac...
Summarization: The problem of estimation and control for systems with multiplicative noise and unkno...
In this paper, we consider a problem of the estimation for the stochastic system with multiplicative...
This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic...
AbstractA result of Godambe [1] on optimal combination of estimating functions for discrete time sto...
The locally optimal filter is designed for a class of discrete-time systems subject to stochastic no...
This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic...
International audienceThis paper presents a new theorem to guarantee the almost sure exponential sta...
The objectives of this paper are to provide a systematic analytical approach to the synthesis of con...
This item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution...
We have conducted the optimal synthesis of rootmean- squared objective filter to estimate the state ...
We develop an optimal quantization approach for numerically solving nonlinear filtering problems ass...
We consider the problem of approximating optimal in the MMSE sense non-linear filters in a discrete ...
An application of the theory of conditionally Gaussian random processes to filtering and stochastic ...