The fixed-lag smoothing estimator for a linear distributed parameter system with a noisy observation at discrete points on the spatial domain or its boundary is derived from the Wiener-Hopf theoretical viewpoint. The new feature of this paper is that the derivation of the optimal smoothing estimator is based only on the Wiener-Hopf theory. Using the Wiener-Hopf equations both for the optimal smoothing problem and for the optimal filtering problem, the optimal fixed-lag smoothing estimator which corresponds to the results obtained by using Kalman's limiting procedure is derived
This paper newly presents the recursive least-squares (RLS) fixed-lag smoother using the covariance ...
In an important class of linear stochastic control problems distributed-lag state or control variabl...
This paper, by combining the robust recursive least-squares (RLS) Wiener filter and the RLS Wiener f...
The fixed-lag smoothing estimator for a linear distributed parameter system with a noisy observation...
Optimal filtering and smoothing algorithms for linear discrete-time distributed parameter systems ar...
Optimal filtering and smoothing algorithms for linear discrete-time distributed parameter systems ar...
Optimal filtering and smoothing algorithms for linear discrete-time distributed parameter systems ar...
The fixed-point smoothing estimator and smoothing error covariance operator equations are derived fo...
AbstractThe problem of optimal fixed lag smoothing of a diffusion process, xt is to estimate xt − τ ...
AbstractThe problem of optimal fixed lag smoothing of a diffusion process, xt is to estimate xt − τ ...
Approximate nonlinear filtering formulas are applied to yield fixed-lag smoothing results for nonlin...
This thesis is concerned with estimation and control of linear distributed parameter systems. For t...
Abstract: Kalman smoothers obtain state estimates in a system with stochastic dynamics and measureme...
In this paper, we solve the distributed parameter fixed point smoothing problem by formulating it as...
This paper newly presents the recursive least-squares (RLS) fixed-lag smoother using the covariance ...
This paper newly presents the recursive least-squares (RLS) fixed-lag smoother using the covariance ...
In an important class of linear stochastic control problems distributed-lag state or control variabl...
This paper, by combining the robust recursive least-squares (RLS) Wiener filter and the RLS Wiener f...
The fixed-lag smoothing estimator for a linear distributed parameter system with a noisy observation...
Optimal filtering and smoothing algorithms for linear discrete-time distributed parameter systems ar...
Optimal filtering and smoothing algorithms for linear discrete-time distributed parameter systems ar...
Optimal filtering and smoothing algorithms for linear discrete-time distributed parameter systems ar...
The fixed-point smoothing estimator and smoothing error covariance operator equations are derived fo...
AbstractThe problem of optimal fixed lag smoothing of a diffusion process, xt is to estimate xt − τ ...
AbstractThe problem of optimal fixed lag smoothing of a diffusion process, xt is to estimate xt − τ ...
Approximate nonlinear filtering formulas are applied to yield fixed-lag smoothing results for nonlin...
This thesis is concerned with estimation and control of linear distributed parameter systems. For t...
Abstract: Kalman smoothers obtain state estimates in a system with stochastic dynamics and measureme...
In this paper, we solve the distributed parameter fixed point smoothing problem by formulating it as...
This paper newly presents the recursive least-squares (RLS) fixed-lag smoother using the covariance ...
This paper newly presents the recursive least-squares (RLS) fixed-lag smoother using the covariance ...
In an important class of linear stochastic control problems distributed-lag state or control variabl...
This paper, by combining the robust recursive least-squares (RLS) Wiener filter and the RLS Wiener f...