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 65 for “"Kalman filters"”.
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The path prediction of cyclones with Kalman filters
The Kalman filter is used to provide estimates of the position and velocity of a storm based upon observation of the storm's longitude and latitude. Nonstationary noise is shown to degrade the performance of the filter and cause tracking divergence. Time varying values for the noise covariance …
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Anwendung des erweiterten KALMAN-Filters zur Zustandsbeobachtung in Biogasanlagen
… Die Arbeit „Anwendung des erweiterten KALMAN-Filters zur Zustandsbeobachtung in Biogasanlagen“ hat zum Ziel, den Stand der Technik in der Biogaserzeugung dahingehend weiter zu entwickeln, dass mittels einer softwarebasierten Systemlösung die für eine fundierte Einschätzung des …
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Robust Kalman Filters Using Generalized Maximum Likelihood-Type Estimators
Estimation methods such as the Kalman filter identify best state estimates based on certain optimality criteria using a model of the system and the observations. A common assumption underlying the estimation is that the noise is Gaussian. In practical systems though, one quite frequently encounters …
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A framework based on Gaussian mixture models and Kalman filters for the segmentation and tracking of anomalous events in shipboard video
… indication is tracked between frames using Kalman filtering. Finally, gray level shape and motion features corresponding to the anomaly are subjected to principal component analysis and classified using a multilayer perceptron neural network. The algorithm is exercised on 68 video streams …
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Application of Kalman Filtering to Real-time Flight Regime Recognition Algorithms in a Helicopter Health and Usage Monitoring System
… purpose of this study is the application of Kalman filters to real-time Flight Regime Recognition (FRR) algorithms to identify the regime flown and observe transitions between flight regimes. Rotor fault identification, a technique that is somewhat similar to flight regime recognition, …
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Examination of selected passive tracking schemes using adaptive kalman filtering
… SONAR range tracking systems have used Extended Kalman filters to process nonlinear time-delay measurements. This approach has several flaws due to the inherent divergence problems of Extended Kalman filters. This paper discusses a new approach which uses a prefilter to linearize the measurements …
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Computer control of chemical process plants with special reference to distillation
… typical instability problems associated with the Kalman filters. Three extended Kalman filters have been formulated and tested by simulation. The filters have been used to refine a much simplified model sequentially and to estimate parameters such as the unmeasured feed composition using …
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Passive estimation of underwater maneuvering targets
… In the past, tracking systems have used Extended Kalman Filters to process the nonlinear measurements, but these have inherent divergence problems. To overcome this, a nonlinear prefilter is added to linearize the measurements and thus allow the use of a conventional Kalman Filter which makes the …
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Modellbasierte Diagnose auf Basis Differential-Algebraischer Systeme mit Nichtlinearen Kalman-Filtern
… methods is the state estimation with nonlinear Kalman-filters. Consequently, the state estimation approaches as well as the formulations of the Kalman-filters with nonlinear DAE are central parts of this thesis. The generalization of the Kalman-filter algorithm to nonlinear higher index DAE is a …
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Towards robust inference for Bayesian filtering of linear Gaussian dynamical systems subject to additive change
… of a latent signal such as the celebrated Kalman filter hereby rely on a set of strong assumptions such as linearity of system dynamics and Gaussianity of noise terms. We investigate fallacy in mis-specification of the noise terms, that is signal noise and observation noise, regarding heavy …
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Real-time detection of auditory : steady-state brainstem potentials evoked by auditory stimuli
… estimation techniques of Luenberger observer and Kalman filter have been used in the development of the autonomous ASSR detection scheme. Both techniques are real-time implementable, while the challenges faced in the application of the observer and Kalman filter techniques are the very poor SNR …
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Efficient Estimation of Stochastic Parameters: A GLS Approach
… distinguishing it from traditional models like Kalman Filters. Furthermore, the thesis expands on the model to tackle more complex stochastic structures and validates its effectiveness through practical applications to real-world financial data, like inflation risk premium estimations. The …
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Krylov subspace estimation
… This thesis proposes an implementation of the Kalman filter and smoother in which each step of these recursive algorithms is solved iteratively. The resulting space-time estimation algorithm is especially suited for remote sensing problems. In particular, the algorithm is applied to the …
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Estimation of Air Flow Angles Derived from an Inertial Navigation System
… an estimate for the air flow angles. Multiple Kalman Filters use air flow angle estimates to determine essential aircraft stability derivatives. Initial values for these stability derivatives are inaccurate but, over a short period of time, the Kalman Filters are able to converge to an accurate …
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Online Pilot Model Parameter Estimation for Loss-of-Control Prevention in Aircraft Systems
… Wavelets, Most Likelihood Estimation, Extended Kalman Filters, and Unscented Kalman Filters. This thesis applies two new methods to the estimation problem and suggests a modification to one.</p> <p>The three methods investigated in this thesis are a modified form of the Unscented Kalman Filter, …
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Design of optimal control systems and industrial applications.
… system is presented. The effects of using Kalman filters for state estimate feedback in non-optimal systems is discussed.
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Empirical modelling of high-frequency foreign exchange rates
… the use of multi-agent neural networks, linear Kalman filters and fuzzy Markov chain theory.
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Development of Magnetometer-Based Orbit and Attitude Determination for Nanosatellites
… of redundancy on nanosatellites. Extended Kalman Filters (EKFs) are developed for attitude determination and orbit determination. Simulations are run to compare the developed systems with previous work on attitude and orbit determination. The EKFs are combined to provide both attitude and …
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