AbstractThis paper presents estimation technique using the Kalman filter finite-element method (KF-FEM). The Kalman filter is employed frequently for the solution of time series analysis including the observation and the system noises. The finite-element method (FEM) approximates the physical phenomena by the differential equations. KF-FEM is the combination method of the Kalman filter and the finite-element method and is capable of estimating not only in time but also in space. The Onjuku coast is analyzed to obtain the performance of the present method
32 p.This report describes an applied research project (RP 17/90) undertaken in Nanyang Technologica...
In this paper, utilisation of an Unscented Kalman Filter for concurrently performing disturbance est...
The work is devoted to the construction of a model of turbulent exchange in shallow water bodies usi...
AbstractThis paper presents estimation technique using the Kalman filter finite-element method (KF-F...
This paper presents an estimation of velocity and water elevation in a river current using the Kalma...
The purpose of this paper is to investigate estimation of velocity, water elevation and contaminant ...
In this chapter, we present numerical examples of an estimation of shallow water flow based on Kalma...
This report gives an exposition of the applications Kalman filters and the related nonlinear filters...
This paper presents Advection-Diffusion Analysis Using Kalman Filter FEM. The Advection-Diffusion ph...
In this study the theory of Kalman filtering has been employed to develop a new method for predictin...
An Unscented Kalman Filter (UKF) able to estimate the direction and the magnitude of a priori unknow...
This paper presents a coupling of an ensemble Kalman filter (EnKF) with a discontinuous Galerkin-bas...
This paper presents a coupling of an ensemble Kalman filter (EnKF) with a discontinuous Galerkin-bas...
A highly efficient finite element model has been developed for the numerical prediction of depth ave...
Twin experiments were made to compare the reduced rank Kalman filter (RRKF), ensemble Kalman filter ...
32 p.This report describes an applied research project (RP 17/90) undertaken in Nanyang Technologica...
In this paper, utilisation of an Unscented Kalman Filter for concurrently performing disturbance est...
The work is devoted to the construction of a model of turbulent exchange in shallow water bodies usi...
AbstractThis paper presents estimation technique using the Kalman filter finite-element method (KF-F...
This paper presents an estimation of velocity and water elevation in a river current using the Kalma...
The purpose of this paper is to investigate estimation of velocity, water elevation and contaminant ...
In this chapter, we present numerical examples of an estimation of shallow water flow based on Kalma...
This report gives an exposition of the applications Kalman filters and the related nonlinear filters...
This paper presents Advection-Diffusion Analysis Using Kalman Filter FEM. The Advection-Diffusion ph...
In this study the theory of Kalman filtering has been employed to develop a new method for predictin...
An Unscented Kalman Filter (UKF) able to estimate the direction and the magnitude of a priori unknow...
This paper presents a coupling of an ensemble Kalman filter (EnKF) with a discontinuous Galerkin-bas...
This paper presents a coupling of an ensemble Kalman filter (EnKF) with a discontinuous Galerkin-bas...
A highly efficient finite element model has been developed for the numerical prediction of depth ave...
Twin experiments were made to compare the reduced rank Kalman filter (RRKF), ensemble Kalman filter ...
32 p.This report describes an applied research project (RP 17/90) undertaken in Nanyang Technologica...
In this paper, utilisation of an Unscented Kalman Filter for concurrently performing disturbance est...
The work is devoted to the construction of a model of turbulent exchange in shallow water bodies usi...