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
The algorithm is developed for generating the optimal smoothed estimate xˆ(t|t+T) of the state x(t) ...
The H-inf fixed-lag smoothing problem for discrete- time linear systems is considered. It is well k...
The H-inf fixed-lag smoothing problem for discrete- time linear systems is considered. It is well k...
The fixed-lag smoothing estimator for a linear distributed parameter system with a noisy observation...
Approximate nonlinear filtering formulas are applied to yield fixed-lag smoothing results for nonlin...
In this paper, we solve the distributed parameter fixed point smoothing problem by formulating it as...
AbstractThe problem of optimal fixed lag smoothing of a diffusion process, xt is to estimate xt − τ ...
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...
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...
This paper addresses the H[sub ∞] fixed-lag smoothing and prediction problems for linear continuous-...
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 ...
The algorithm is developed for generating the optimal smoothed estimate xˆ(t|t+T) of the state x(t) ...
The H-inf fixed-lag smoothing problem for discrete- time linear systems is considered. It is well k...
The H-inf fixed-lag smoothing problem for discrete- time linear systems is considered. It is well k...
The fixed-lag smoothing estimator for a linear distributed parameter system with a noisy observation...
Approximate nonlinear filtering formulas are applied to yield fixed-lag smoothing results for nonlin...
In this paper, we solve the distributed parameter fixed point smoothing problem by formulating it as...
AbstractThe problem of optimal fixed lag smoothing of a diffusion process, xt is to estimate xt − τ ...
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...
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...
This paper addresses the H[sub ∞] fixed-lag smoothing and prediction problems for linear continuous-...
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 ...
The algorithm is developed for generating the optimal smoothed estimate xˆ(t|t+T) of the state x(t) ...
The H-inf fixed-lag smoothing problem for discrete- time linear systems is considered. It is well k...
The H-inf fixed-lag smoothing problem for discrete- time linear systems is considered. It is well k...