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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 ...
Particle filter with unknown noise statistics and with prior knowledge
(Asociación Argentina de Control Automático, 2018)
Particle filters have been widely used as a solution to the Bayesian filtering problem, propagating in time a Monte Carlo (MC) approximation of the a posteriori filtering measure. In many situations, the exact statistics ...
Particle filter and approximation error model for state estimation in hyperthermia
(ASME Amererican Society of Mechanical Engineering, 2016-09-08)
This work deals with numerical simulation of a hyperthermia treatment of skin cancer as a state estimation problem, where uncertainties in the evolution and measurement models, as well as in the measured data, are accounted ...
Fully adaptive particle filtering algorithm for damage diagnosis and prognosis
(MDPI, 2018)
A fully adaptive particle filtering algorithm is proposed in this paper which is capable of updating both state process models and measurement models separately and simultaneously. The approach is a significant step toward ...
An approach to real-coded quantum inspired evolutionary algorithm using particles filter
(Institute of Electrical and Electronics Engineers Inc., 2016)
This work proposes, implements and evaluates the FP-QIEA-R model as a new quantum inspired evolutionary algorithm based on the concept of quantum superposition that allows the optimization process to be carried on with a ...
Three-dimensional pose tracking by image correlation and particle filtering
(2018-07-23)
This research presents an algorithm for three-dimensional (3-D) pose tracking of a rigid object by
processing sequences of monocular images. The pose trajectory of the object is estimated by performing linear correlation ...
Mice and larvae tracking using a particle filter with an auto-adjustable observation model
(ELSEVIER SCIENCE BV, 2010)
This paper proposes a novel way to combine different observation models in a particle filter framework. This, so called, auto-adjustable observation model, enhance the particle filter accuracy when the tracked objects ...