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 42 for “"Optimal estimation"”.
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Optimal estimation for nonlinear stochastic systems.
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Thesis. 1969. Sc.D.
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Antenna boresight calibration using optimal estimation techniques
As part of the Canadian Department of National Defence Spotlight SAR program, the Defence Research Establishment Ottawa (DREO) has been developing a Synthetic Aperture Radar Motion Compensation System (SARMCS). The SARMCS processes accelerometer and gyro measurements from an inertial measurement …
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Optimal Estimation and Control Under Communication Network Constraints
Several new optimal estimation and control problems are introduced with hard constraints on the availability of information or on the number of times the information and/or control may be available. We are motivated by applications in networked control systems, but most of the results derived here …
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Optimal estimation in high-dimensional and nonparametric models
Minimax optimality is a key property of an estimation procedure in statistical modelling. This thesis looks at several problems in high-dimensional and nonparametric statistics and proposes novel estimation procedures. It then provides statistical guarantees on the performance of these methods and …
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Optimal estimation of the vehicle state in an embedded dopploer/GPS navigation system
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1994.
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Optimal estimation of the surface fluxes of chloromethanes using a 3-D global atmospheric chemical transport
The four chloromethanes - methyl chloride (CH3Cl), dichloromethane (CH2Cl2), chloroform (CHCl3), and carbon tetrachloride (CCl4), are chlorine-containing gases contributing significantly to stratospheric ozone depletion and having adverse health effects. Large uncertainties in estimates of their …
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Optimal estimation of ionosphere-induced group delays of global positioning satellite signals during launch, orbit and re-entry
There are many sources of range error in a Global Positioning Satellite (GPS) signal that has traveled to a receiver near the earth's surface. Among these is the ionospheric group delay. In the past, a single-state, dual-frequency filter has been used to estimate the ionospheric delay for …
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Unknown input and state estimation for linear discrete-time stochastic systems in the presence of constraints
This thesis presents an unknown input and state estimation algorithm for linear discrete-time stochastic systems with inequality constraints on the inputs and states. The proposed algorithm consists of optimal Bayesian estimation and information aggregation. The optimal estimation provides …
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Optimal distributed control and estimation for systems with spatiotemporal dynamics
Traditional optimal control and estimation synthesis often relies on the implicit assumption that sufficient computational power and bandwidth are available to implement centralized communication architectures. However, this is often not the case in large-scale spatially distributed systems. In …
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Advanced spatial information processes: modeling and application
… which is based on a recursive algorithm for optimal estimation of the state of a two-dimensional discrete Markov Random Field (MRF). The implementation of the recursive algorithm is a form of dynamic programming. The second framework is based on a stochastic relaxation algorithm and …
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Application of Kalman filtering in computer relaying of power systems
<p>Kalman-filter models for the optimal estimation of the post-fault currents and voltages for computer relaying purposes of power systems are presented. As a prerequisite for the Kalman-filtering implementation, the random description of the fault-induced noise signals was quantitatively studied. …
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Wireless Scheduling for Monitoring Remote Correlated Sources
… between the sources. Under a Kalman filter-based optimal estimation framework, we show that the performance of all scheduling policies oblivious to instantaneous error can be lower and upper bounded by the weighted sum of Age of Information (AoI) across the sources for appropriately chosen …
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Improvement of three dimensional acoustic field estimation using tomographic reconstructions of the ocean
… a synthetic tomography experiment using linear optimal estimation theory. Inversions were also performed using XSV and satellite sea surface temperature data. Gaussian fits to the reconstructed features were constructed for use with a three dimensional raytrace program (HARPO). Three dimensional …
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Location aware data aggregation for efficient message dissemination in Vehicular Ad Hoc Networks
… aggregation mechanism for real-time observation, estimation and efficient dissemination of messages in VANETs. The proposed mechanism is based on a generic modelling approach which makes it applicable to any type of VANET applications. The data aggregation mechanism proposed in this thesis …
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Geometric aspects of uncertainty quantification in high-dimensional statistics
… information-theoretic results that show estimation and uncertainty quantification are fundamentally distinctive problems, the difficulty of which is governed by different aspects of the data and model. As it is natural to seek uncertainty quantification procedures that match the accuracy …
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Modeling, Control, and Impact Analysis of The Next Generation Transportation System
… reductions in the network. Chapter 3 proposes an optimal estimation approach to calibrate connected vehicles' car-following behavior in a mixed traffic environment. Particularly, the state-space system dynamics is captured by the simplified car-following model with disturbances, where the …
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Feed-Forward Neural Network (FFNN) Based Optimization Of Air Handling Units: A State-Of-The-Art Data-Driven Demand-Controlled Ventilation Strategy
… the most widely used strategies to determine the optimal level of supply air volume. However, conventional CO2 mass balanced models do not yield an optimal estimation accuracy. In this study, feed-forward neural network algorithm (FFNN) was proposed to estimate the zone occupancy using CO2 …
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Statistical field estimation and scale estimation for complex coastal regions and archipelagos
… computational geophysical fluid dynamics is the optimal estimation of gridded fields and of spatial-temporal scales directly from the spatially irregular and multivariate data sets that are collected by varied instruments and sampling schemes. In this work, we derive and utilize new schemes for …
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Motion-Logger: An Attitude and Motion Sensing System
… usage. Actual signal analysis and attitude estimation is carried out offline. The motion sensing system was developed for determining wheelchair-related falls as part of a major research effort carried out at the research center of the James A Haley VA Hospital Subject Safety Center, Tampa, …
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Particle filtering for EEG source localization and constrained state spaces
… have a unique ability to perform asymptotically optimal estimation for non-linear and non-Gaussian state-space models. However, the numerical nature of PFs cause them to have major weakness in two important areas: (1) handling constraints on the state, and (2) dealing with high-dimensional …
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