Kalman filters are rooted in the technical literature, as a way of predicting new states in nonlinear systems providing a recursive solution to the problem of linear optimal filtering. Therefore, 56 years after its ...

This paper compares the time-varying cointegration and the Kalman filter techniques to estimate the Brazilian money demand between 1996 and 2015. The estimation using Kalman filtering performs better and is subsequently ...

This paper studies semistability of the recursive Kalman filter in the context of linear time-varying (LTV), possibly nondetectable systems with incorrect noise information. Semistability is a key property, as it ensures ...

This paper presents an algorithm implemented in real time in a laboratory robot, designed to trace and detect the color of an object in an indoor environment using the kalman filter. The image capture is done by a kinect ...

This paper presents an algorithm implemented in real time in a laboratory robot, designed to trace and detect the color of an object in an indoor environment using the kalman filter. The image capture is done by a kinect ...

The control of polymerization processes has central importance because operational conditions affect the processing and end-use properties of the product. The nonlinear controllers based upon rigorous models make use of ...

Aiming at contributing to the development of a robust computer vision traffic surveillance system, in this work a method for vehicle identification and tracking that applies the Scale Invariant Feature Transform (SIFT) and ...