A 3D surface classification method based upon the quadric surface model is described. This technique does not require the points from the surface to lie on a grid. A sample of surface points is classified as planar or nonplanar through two hypothesis testa If the sample is nonplanar, curvature features are evaluated at each point to classify the sample as spherical, cylindrical, or conical. A n...

The objective of this study is to propose an observer design for nonlinear systems by using an augmented linear system derived by application of a formal linearization method. A given nonlinear differential equation is linearized by the formal linearization method which is based on Taylor expansion considering up to the higher order terms, and a measurement equation is transformed into an augme...

The purpose of this paper is to attitude estimation of Nano-satellite which requires navigation sensors data to less cost function and effection movement of Nano-satellite focus of the research is to using data of navigation sensors and methods to achieve the requirement of the attitude estimation. in this paper the following attitude estimation of the according to direction of sun of the Nano-...

Nonlinear filtering is certainly very important in estimation since most real-world problems are nonlinear. Recently a considerable progress in the nonlinear filtering theory has been made in the area of the sampling-based methods, including both random (Monte Carlo) and deterministic (quasi-Monte Carlo) sampling, and their combination. This work considers the problem of tracking a maneuvering ...

In this paper a robust method is presented to classify and estimate an objects pose from a real time range image and a low dimensional model. The model is made from a range image training set which is reduced dimensionally by a nonlinear manifold learning method named Local Linear Embedding (LLE). New range images are then projected to this model giving the low dimensional coordinates of the ob...

The gyroscope calibration problem is addressed for the Inertial Pseudo Star Reference Unit. A nonlinear scale factor error is described by two gyro error states (an amplitude and a decay constant) which enter the dynamics in a nonlinear fashion. A comparison is made between the extended Kalman filter (EKF) and the maximum likelihood system identification (MLSI) method for solving the resulting ...

Prognosis and Health Management methodologies require efficient parameter estimation approaches to enable systematic system reconfiguration and adaptive control to accommodate faulty behaviors, and to predict future system states. However, accurate and timely on-line parameter estimation of complex, nonlinear systems is difficult and can be computationally expensive. In this work, we propose a ...

This paper addresses two pattern-recognition problems in the context of random sets. For the .rst, the random set law is known and the task is to estimate the observed pattern from a feature set calculated from the observation. For the second, the law is unknown and we wish to estimate the parameters of the law. Estimation is accomplished by an optimal linear system whose inputs are features ba...

Preface These lecture notes are concerned with state estimation problem of linear and particularly nonlinear discrete and continuous-discrete stochastic systems. State estimation has a great variety of applications including The general solution of the state estimation problem is based on the Bayesian recursive relations and the Fokker-Planck equation which generate conditional probability dens...