Kalman Filters
Mostrando 1-12 de 40 artigos, teses e dissertações.
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1. Navegação terrestre usando unidade de medição inercial de baixo desempenho e fusão sensorial com filtro de Kalman adaptativo suavizado. / Terrestrial navigation using low-grade inertial measurement unit and sensor fusion with smoothed adaptive Kalman filter.
This work presents the development of the mathematical models and the algorithms of a sensor fusion system for terrestrial navigation using a low-grade inertial measurement unit (IMU) and the Extended Kalman Filter. The models were developed on the basis of the strapdown inertial navigation systems (SINS). Low-grade designates an IMU that is not able to perf
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 01/06/2011
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2. Controle preditivo de horizonte infinito para sistemas integradores e com tempo morto. / Model predictive control of integrating systems with dead time.
Model Predictive Control (MPC) has gained wide acceptance in chemical industry in the last 30 years. The basic principle of this technique is to use a model to calculate plants future behavior based on the inputs it would receive in the next sampling periods. It must be set an objective, mainly composed of some measure of the distance between plants predicte
Publicado em: 2011
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3. Object tracking from compressed video using Kalman Filter and a novel spatiotemporal motion-vector filter.
Video Object Tracking plays a crucial role on several Computer Vision applications, such as Video Surveillance, Intelligent Transportation System (ITS), Human Machine Interface (HMI), Video Indexing and Shopping Behavior Analysis. Nevertheless, the processing power demanded by object tracking techniques still consists in a bottleneck to their wider adoption.
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/10/2010
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4. Object tracking from compressed video using Kalman Filter and a novel spatiotemporal motion-vector filter.
Video Object Tracking plays a crucial role on several Computer Vision applications, such as Video Surveillance, Intelligent Transportation System (ITS), Human Machine Interface (HMI), Video Indexing and Shopping Behavior Analysis. Nevertheless, the processing power demanded by object tracking techniques still consists in a bottleneck to their wider adoption.
Publicado em: 2010
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5. Adaptive complementary filtering algorithm for mobile robot localization
As a mobile robot navigates through an indoor environment, the condition of the floor is of low (or no) relevance to its decisions. In an outdoor environment, however, terrain characteristics play a major role on the robot's motion. Without an adequate assessment of terrain conditions and irregularities, the robot will be prone to major failures, since the e
Journal of the Brazilian Computer Society. Publicado em: 2009-09
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6. Estimação de canais MIMO variantes no tempo usando filtros de Kalman / Time-varying MIMO channel estimation using Kalman filters
In this work we use Kalman filters to estimate time-varying wireless channels in multiple-input, multiple-output (MIMO) systems. First, we propose an optimal estimator (in the minimum mean squared error sense) to track flat channels in orthogonal space-time block coded systems. Due to the orthogonality inherent to these codes, the Kalman filter equations can
Publicado em: 2009
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7. Filtros de Kalman robustos para sistemas dinâmicos singulares em tempo discreto / Robust Kalman filters for discrete-time singular systems
This thesis considers the optimal robust estimates problem for discrete-time singular dymanic systems. New recursive algorithms are developed for the Kalman filtered and predicted estimated recursions with the corresponding Riccati equations. The singular robust Kalman type filter and the corresponding recursive Riccati equation arer obtained in their most g
Publicado em: 2009
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8. Design of a multi-model observer-based estimator for Fault Detection and Isolation (FDI) strategy: application to a chemical reactor
This study presents a FDI strategy for nonlinear dynamic systems. It shows a methodology of tackling the fault detection and isolation issue by combining a technique based on the residuals signal and a technique using the multiple Kalman filters. The usefulness of this combination is the on-line implementation of the set of models, which represents the norma
Brazilian Journal of Chemical Engineering. Publicado em: 2008-12
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9. Filters design for fault detection based on H-inifinity norm / Projeto de filtros para detecção de falhas usando a norma H-infinito
Esta dissertação aborda a aplicação de técnicas modernas de controle de sistemas dinâmicosao problema de detecção de falhas. Duas diferentes abordagens de detecção são utilizadas: estimação da falha e geração de resíduo. Tanto na estimação de falha quanto na geração de resíduo é formulado um problema H1 cujo objetivo é encontrar um fil
Publicado em: 2008
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10. Filtros de Kalman no tempo e freqüência discretos combinados com subtração espectral / Kalman filters of time and frequency discrete combined with spectral subtraction
Este trabalho tem a finalidade de apresentar e comparar técnicas de redução de ruído utilizando como critérios de avaliação a mínima distorção espectral e a redução de ruído, na reconstrução dos sinais de voz degradados por ruído. Para tanto, utilizou-se os filtros de Kalman de tempo discreto e de freqüência discreta em conjunto com a técn
Publicado em: 2007
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11. Robust filtering via convex combination of Kalman filters / Filtragem robusta via combinação convexa de filtros de Kalman
In this work, a new method to H2robust ?ltrer design is proposed. A convex combination of Kalman ?lters, calculated in each vertex of the uncertainty polytope, is used to synthesize the robust ?lter. For this model, the best one is calculated through a convex programming problem, expressed in terms of LMIs. Inicially a sub-class of polytopic systems is consi
Publicado em: 2007
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12. Filtragem robusta via combinação convexa de filtros de kalman / Robust filtering via convex combination of kalman filters
Neste trabalho, é proposto um novo método para o projeto de filtros robustos em norma H2, que consiste na utilização de uma combinação linear dos filtros de Kalman obtidos para os vértices do politopo de incertezas. Para esta classe de filtros, são obtidos problemas, expressos na forma de LMIs, para a determinação dos coeficientes que produzem o me
Publicado em: 2007