Control of a class of uncertain nonlinear systems, which estimates unavailable state variables, is considered. A new approach for robust tracking control problem of satellite for large rotational maneuvers is presented in this paper. The features of this approach include a strong algorithm to estimate attitude, based on discrete extended Kalman filter combined with a continuous extended Kalman ...

Different perception systems are available for the estimation of the pose (position and orientation) of moving objects. For space applications, an active vision system such as Laser Camera System (LCS) developed by Neptec Design Group (Ottawa, Canada) is preferable for its proven robustness in harsh lighting conditions of space. Based on LCS data, this paper presents results of integration of a...

Data is always a crucial issue of concern especially during its prediction and computation in digital revolution. This paper exactly helps providing efficient learning mechanism for accurate predictability reducing redundant data communication. It also discusses the Bayesian analysis that finds conditional probability at least two parametric based predictions data. The presents method improving...

in the procedure of designing an underwater vehicle or robot, its maneuverability and controllability must be simulated and tested, before the product is finalized for manufacturing. since the hydrodynamic forces and moments highly affect the dynamic and maneuverability of the system, they must be estimated with a reasonable accuracy. in this study, hydrodynamic coefficients of an autonomous un...

extended kalman filtering (ekf) is a nonlinear dynamic data reconciliation (nddr) method. one of its main advantages is its suitability for on-line applications. this paper presents an on-line nddr method using ekf. it is implemented for two case studies, temperature measurements of a distillation column and concentration measurements of a cstr. in each time step, random numbers with zero mean ...

In this paper we have applied radial basis function neural networks for equalization of wireless channel in the presence of additive noise. We have been tested the adaptive filter algorithms of simple Kalman filter, extended Kalman filter, rbfn Kalman filter, rbfn extended Kalman filter, fuzzy Kalman filter and fuzzy extended Kalman filter which might be considered applicable for wireless chann...

This paper presents a set of filters with globally exponentially stable error dynamics for source localization and navigation, in 3-D, based on directionmeasurements from the agent (or vehicle) to the source, in addition to relative velocity readings of the agent. Both the source and the agent are allowed to have constant unknown drift velocities and the relative drift velocity is also explicit...

This paper presents the detection of 3D pose of moving humans heads. The contribution of this work is the conjunction of an e ective preprocessing method and a strong estimation Kalman technique which uses less noise sensitive 3D line observations. The procedure involves the detection of the target face in any type of background using color histograms. To outline the face we use a minimization ...

Abstract This paper builds on the filtering work presented in [1]. Our hybrid-state extended Kalman filter [1] is suitable for track-level processing [2] to maintain track through move-stop-move motion patterns, but is inadequate for processing report-level data. Similarly, a direct IMM approach to move-stopmove filtering appears inadequate, since it may lead to excessive track breaks and to ov...