Abstract. A three-mode nonlinear slow-fast system with the fast forcing is studied here as a model for filtering turbulent signals from partial observations. The model describes the interaction of two externally driven fast modes with a slow mode through catalytic nonlinear coupling. The special structure of the nonlinear interaction allows for the analytical solution for the first and second o...

The Extended Kalman Filter (EKF) can be used for parameter as well as for state estimation. However, when used for parameter estimation, EKF is sensitive to modeling uncertainties and prone to instability. In this paper, the Variable Structure filtering concept is introduced and used for modifying the EKF into a robust form. The proposed method is model-based and has a guaranteed stability give...

The posterior Cramér-Rao lower bound (PCRB) for estimating the position and velocity of a Mobile Station (MS) by integrating two different kinds of measurement from GSM networks, Timing Advance (TA) and Received Signal Strength (RSS), is derived. The bound shows that theoretically the data fusion approach yields better accuracy than using a single kind of measurement. The performance of an exte...

In this article we propose a method for estimating the camera motion from a video-sequence acquired in the presence of general 3D structures. Solutions to this problem are commonly based on the tracking of point-like features, as they usually back-project onto viewpoint-invariant 3D features. In order to improve the robustness, the accuracy and the generality of the approach, we are interested ...

In order to improve the soil temperature profile predictions in land-surface models, an assimilation scheme using the extended Kalman filter is developed. This formulation is based on the discretized diffusion equation of heat transfer through the soil column. The scheme is designed to incorporate the knowledge of the uncertainties in both the model and the measurement. Model uncertainty is est...

In radar tracking target motion is best modeled in Cartesian coordinates. Its position is however measured in polar coordinates (range and azimuth). Tracking in Cartesian coordinates with noisy polar measurements requires either converting the measurements to a Cartesian frame of reference and then applying the linear Kalman lter to the converted measurement [1] or using the extended Kalman lte...

In this study, it is aimed to design a speed sensorless DTC system for induction motors (IMs). All the states required for DTC system in addition to the load torque are estimated using an Extended Kalman Filter (EKF). Simulation results demonstrate a good performance and robustness.

In this paper we propose a novel training algorithm for RBF networks that is based on extended kalman filter and fuzzy logic.After the user choose how many prototypes to include in the network, the extended kalman filter simultancously solves for the prototype vectors and the weight matrix.The fuzzy logic is used to cope with the devergence problem caused by the insufficiently known a priori fi...