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Posicionamento em ambientes não estruturados e treinamento de redes neurais utilizando filtros de Kalman
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2016-03-04)
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 ...
Unscented Kalman Filter. Application of the robust approach to polymerization processes
(Elsevier, 2017-10)
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 ...
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels
(Institute of Electrical and Electronics Engineers, 2005-03)
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels
(Institute of Electrical and Electronics Engineers, 2005-03)
Recurrent neural networks (RNNs) have been successfully applied to communications channel equalization because of their modeling capability for nonlinear dynamic systems. Major
problems of gradient-descent learning techniques ...
Unscented transformation-based filters: Performance comparison analysis for the state estimation in polymerization processes with delayed measurements
(Wiley VCH Verlag, 2011-08-11)
State estimation with delayed measurements is essential to the operation of polymer processes due to the limited availability of reliable online sensors and the unavoidable hold-up time in the acquisition of critical ...
Unscented Kalman filter for spacecraft attitude estimation using modified Rodrigues parameters and real data
(2016-10-01)
In this paper, a sigma-point Kalman filter formulation for attitude estimation is derived using the modified Rodrigues parameters and real data of attitude sensors. The unscented Kalman filter algorithm is used for attitude ...
Lithium-Ion Battery End-of-Discharge Time Estimation and Prognosis based on Bayesian Algorithms and Outer Feedback Correction Loops: A Comparative Analysis
(A Comparative Analysis. In the Annual Conference of the Prognostics and Health Management Society 2015A Comparative Analysis. In the Annual Conference of the Prognostics and Health Management Society 2015, 2015-08-24)
Battery energy systems are currently one of the most common power sources found in mobile electromechanical devices. In all these equipment, assuring the autonomy of the system requires to determine the battery state-of-charge ...
Unscented Kalman Filter Applied to the Spacecraft Attitude Estimation with Euler Angles
(Hindawi Publishing Corporation, 2012-01-01)
The aim of this work is to test an algorithm to estimate, in real time, the attitude of an artificial satellite using real data supplied by attitude sensors that are on board of the CBERS-2 satellite (China Brazil Earth ...
Unscented Kalman Filter Applied to the Spacecraft Attitude Estimation with Euler Angles
(Hindawi Publishing Corporation, 2012-01-01)
The aim of this work is to test an algorithm to estimate, in real time, the attitude of an artificial satellite using real data supplied by attitude sensors that are on board of the CBERS-2 satellite (China Brazil Earth ...