Kalman Filter
Mostrando 1-12 de 145 artigos, teses e dissertações.
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1. ESTIMATION OF PARAMETERS AND STATES USING A BAYESIAN PARTICLE FILTER FOR THE SULFATE ION ADSORPTION PROCESS IN A FIXED BED COLUMN
Abstract Ensuring that industrial effluents meet quality standards to be released into water bodies is still one of the major environmental concerns. Liquid phase adsoption in fixed bed collumns is one of the most known treatments. Measurements are needed to monitor the process. However, as they are often corrupted by noise from the measuring equipment, perf
Braz. J. Chem. Eng.. Publicado em: 09/12/2019
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2. Considering the impact of observation error correlation in ensemble square-root Kalman filter
Abstract Data assimilation has been developed into an effective technology that can utilize a large number of multi-source unconventional data. It cannot only provide the initial field for the ocean numerical prediction model, but also construct the ocean reanalysis datasets and provide the design basis for the ocean observation plan. In data assimilation, t
Braz. j. oceanogr.. Publicado em: 02/12/2019
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3. CONDITIONAL PRICING MODEL WITH HETEROSCEDASTICITY: EVALUATION OF BRAZILIAN FUNDS
RESUMO Os resultados empíricos na literatura demonstram que a versão condicional do Modelo de Precificação de Ativos Financeiros (CAPM), particularmente no que se refere ao modelo na forma em espaço de estado, no qual o beta é estimado pelo filtro de Kalman, possui maior poder explicativo do que a sua versão incondicional. A maioria das análises emp�
Rev. adm. empres.. Publicado em: 29/08/2019
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4. Data assimilation using the ensemble Kalman filter in a distributed hydrological model on the Tocantins River, Brasil
RESUMO Neste trabalho, o método de assimilação de dados por filtro de Kalman por conjunto (EnKF) é aplicado na bacia do rio Tocantins. Esse método atualiza as vazões do rio usando um modelo hidrológico distribuído. O desempenho de EnKF é também comparado com um método de assimilação empírico a intervalos de tempo horário, onde duas aplicaçõ
RBRH. Publicado em: 04/04/2019
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5. Satellite Inertia Parameters Estimation Based on Extended Kalman Filter
ABSTRACT: The moment of inertia parameters play a critical role in assuring the spacecraft mission throughout its lifetime. However, determination of the moment of inertia is a key challenge in operating satellites. During satellite mission, those parameters can change in orbit for many reasons such as sloshing, fuel consumption, etc. Therefore, the inertia
J. Aerosp. Technol. Manag.. Publicado em: 28/03/2019
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6. Uma Medida de PIB Mensal Para o Brasil Usando o Term Spread
Resumo Neste trabalho, construímos uma medida de PIB mensal brasileiro utilizando um modelo na forma espaço de estados, estimado via filtro de Kalman impondo uma restrição de agregação no tempo: a soma da taxa instantânea de crescimento do PIB mensal nos meses de cada trimestre é igual à taxa instantânea de crescimento trimestral do PIB divulgado p
Rev. Bras. Econ.. Publicado em: 2019-03
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7. A Time-Varying Fiscal Reaction Function for Brazil
Resumo Este artigo avalia a sustentabilidade da dívida pública brasileira usando dados mensais de janeiro de 2003 a junho de 2016 com base na estimação de funções de reação fiscal cujos coeficientes variam ao longo do tempo. Consideramos três métodos de estimação: filtro de Kalman, suavização por spline penalizado e cointegração variante no t
Estud. Econ.. Publicado em: 2019-03
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8. Use of a combined SVD-Kalman filter approach for induction motor broken rotor bars identification
Abstract This paper describes a new parametric spectral estimator for the identification of rotor bar fault of an induction motor by analyzing the stator current. This approach combines two methods: The first one, the Singular Value Decomposition method which allows the accurate detection and location of the fault's signature frequency. The second method all
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2018-03
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9. Comparing an Ensemble Kalman Filter to a 4DVAR Data Assimilation System in Chaotic Dynamics
ABSTRACT: In this paper, the Ensemble Kalman Filter is compared with a 4DVAR Data Assimilation System in chaotic dynamics. The Lorenz model is chosen for its simplicity in structure and the dynamic similarities with primitive equations models, such as modern numerical weather forecasting. It was examined if the Ensemble Kalman Filter and 4DVAR are effective
J. Aerosp. Technol. Manag.. Publicado em: 2017-12
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10. Recurrent Algorithm for TDOA Localization in Sensor Networks
ABSTRACT: Using the mathematical apparatus of the extended Kalman Filter, the recurrent algorithm of the passive location in sensor networks - based on the Time Difference of Arrival method in case of correlated errors of measurements - is developed. The initial estimates of Radio Frequency Sources coordinates and the correlation matrix of the vector estimat
J. Aerosp. Technol. Manag.. Publicado em: 02/10/2017
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11. MEASUREMENT AND ANALYSIS OF A FIELD AREA BASED ON AN ADAPTIVE KALMAN FILTER
ABSTRACT: This paper proposed the use of an adaptive Kalman filter (AFK) to improve Global Positioning System (GPS) positioning accuracy to measure a tractor operational area. First, we used MATLAB to identify the operation trajectory. Then, we used different colors to show the area of operation. Finally, we used an image-processing method to calculate the e
Eng. Agríc.. Publicado em: 2017-09
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12. The ITASAT CubeSat Development and Design
ABSTRACT: Because they are inexpensive platforms for satellites, CubeSats have become a low-cost way for universities and even developing countries to have access to space technology. This paper presents the ITASAT design, particularly the Attitude Determination and Control Subsystem, the Onboard Software, and the Assembly, Integration and Testing program. T
J. Aerosp. Technol. Manag.. Publicado em: 2017-06