Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 599 for “"Kalman Filter"”.
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Carbon Data Assimilation Using an Ensemble Kalman Filter
… ratio assimilation capability in an ensemble Kalman filter (EnKF) data assimilation system with the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). In spite of its global coverage, the CO retrievals from the Measurements Of Pollution In The Troposphere (MOPITT) …
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Application of the extended Kalman filter to enzyme reactions
… estimate the bioprocess parameters. The use of filtering theory for state estimation provides a means of incorporating a deterministic model into a method of forecasting future states which includes the probabilistic uncertainties of both the system and the measuring devices. The state …
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Fault monitoring in hydraulic systems using unscented Kalman filter
… monitoring scheme based on the Unscented Kalman Filter (UKF) is developed. In simulations, both measurement and process noises are considered. The results show that the algorithm estimates the iii system states with acceptable residual errors. Therefore, the structure is verified to be …
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Exact Maximum Likelihood Estimation of the Kalman Filter Model
The interpretation of the Kalman filter model (KFM) used in this thesis is one where the transition equation allows the coefficients of a regression equation to follow an autoregressive-moving average process. Thus the KFM is a generalization of the random coefficients model.
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The adaptive Kalman filter and micromechanical inertial instrument performance
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1993.
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Dynamic OD Estimation with Bluetooth Data Using Kalman Filter
… data while estimating dynamic OD matrices using Kalman filter. We use OD proportions as state variables and travel times, link counts, Bluetooth OD matrix and input and exit volumes as measurements. A simulation experiment is conducted in VISSIM and is designed such that the traffic network …
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Analysis of robot localisation performance based on extended kalman filter
… accuracy for a mobile robot, the Extended Kalman Filter (EKF) algorithm is used to achieve the required robustness and accuracy. EKF is a technique from estimation theory that combines the information of different uncertain sources to obtain the value of variables. However, there are a …
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Source localization of MEG generation using spatio-temporal Kalman filter
… observation equation, we derive spatio-temporal Kalman filter and fixed-interval smoothing algorithms for MEG source localization.To compare the methods analytically, we present a Bayesian derivation of the regularized least squares and Kalman filtering methods. This analysis reveals that the …
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Identification of civil structural parameters using the extended Kalman filter
… is to evaluate the tracking ability of the Kalman filter for identifying civil structural parameters based on measured vibration data which usually are earthquake accelerations. For linear elastic structures, the ordinary Kalman filter was used, but for nonlinear elastic structures, we …
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Application of the extended semianalytical Kalman filter to synchronous orbits
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1983.
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Maximum Power Point Tracking Using Kalman Filter for Photovoltaic System
… method for photovoltaic (PV) systems using Kalman filter. The Perturbation & Observation (P&O) method is widely used due to its easy implementation and simplicity. The P&O usually requires a dithering scheme to reduce noise effects, but the dithering scheme slows the tracking response time. …
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Study of the Kalman filter for arrhythmia detection with intracardiac electrograms
… technique has been developed with the use of Kalman filter applied on cyclostationary autoregressive model. This new algorithm was developed with a training set of 24 arrhythmia passages and tested on a different data set of 29 arrhythmia passages. The algorithm provides 100% detection of VF …
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Strategies for Coupling Global and Limited-Area Ensemble Kalman Filter Assimilation
… are formulated in the Local Ensemble Transform Kalman Filter (LETKF) framework. Numerical experiments are carried out with the model component of the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) and the NCEP Regional Spectral Model (RSM). The limited area …
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Development of An Adaptive Kalman Filter for Estimation in Chemical Plant.
The application of the Kalman Filter to the on-line estimation of the state of a chemical process has so far met with a limited amount of success due to the inaccuracies and non-linearities of the mathematical models developed to describe the process being studied. To overcome these problems, two …
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Estimating value at risk and expected shortfall: a kalman filter approach
… market risk and associated measures. A Kalman filter is used for the first time to estimate both VaR (and ES) to provide an alternative technique to existing industry methods. Modelling the volatility of asset returns as a stochastic process, the Kalman filter uses Bayesian statistics to …
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An extended Kalman filter extension of the augmented Markov decision process
… of Gaussian beliefs. By combining an extended Kalman filter with an augmented Markov decision process, we create a path planner which efficiently plans over a discrete approximation of the set of Gaussian beliefs.
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