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Stochastic modeling to represent wind power generation and demand in electric power system based on real data
(Elsevier, 2016)
A methodology to model two types of random perturbation that affect the operation of electric power systems (EPS) are presented. The first uncertainty is wind power generation and is represented by a one-dimensional and ...
Adaptive basis selection for functional data analysis via stochastic penalization
(Sociedade Brasileira de Matemática Aplicada e Computacional, 2005)
Robust insulin estimation under glycemic variability using Bayesian filtering and Gaussian process models
(Elsevier, 2018-04)
The ultimate goal of an artificial pancreas (AP) is finding the optimal insulin rates that can effectively reduce high blood glucose (BG) levels in type 1 diabetic patients. To achieve this, most autonomous closed-loop ...
Design and implementation of a system to determine tax evasion through de stochastic techniques
(Corporación Universidad de la Costa, 2021)
Contribuição aos métodos de redução de modelos de sistemas dinâmicos não lineares estocásticosContribution to the reduction methods applied to nonlinear dynamic stochastic systems
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Engenharia Mecânica, 2018)
Unpredictability in pedestrian flow: The impact of stochasticity and anxiety in the event of an emergency
(Elsevier B.V., 2019)
Random interactions among pedestrians, usually produced by psychological effects (e.g. anxiety), can produce collective nontrivial phenomena in their flow dynamics. Here, we improve our understanding on these phenomena by ...
Statistical Inference in stochastic models driven by fractional noiseInferencia Estadística en modelos estocásticos dirigidos por un ruido fraccionario
(2021)
In this thesis, the parametric estimation problem is developed in stochastic models, on the one hand continuous, which are then discretized and the observations are taken equally spaced; and on the other hand, discrete ...
Parametric uncertainty and disturbance attenuation in the suboptimal control of a non-linear electrochemical process
(John Wiley & Sons Ltd, 2007-12)
The optimal control of the hydrogen evolution reactions is attempted for the regulation and change of setpoint problems, taking into account that model parameters are uncertain and I/O signals are corrupted by noise. ...
Abordagens não-locais para filtragem de ruído Poisson
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2014-05-23)
A common problem to applications such as positron emission tomography, low-exposure X-ray imaging, fluorescence microscopy, optical and infrared astronomy, and others, is the degradation of the original signal by Poisson ...