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.
Results
Showing 1 to 20 of 33 for “"modeling error"”.
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Modeling Error in Geographic Information Systems
… is very important to observe and account for the error that is unavoidable in computerized maps. Currently, both statistical and non-statistical models are available to do so, although there is very little implementation of these methods. In this dissertation, I have focused on improving the …
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Accuracy and Calibration of Conventional and Parallel Link Machine Tools
The error modeling, error observation, and error estimation techniques are then implemented on a three-axis parallel link machine tool. The final results show that successful calibration of a parallel link machine tool is possible when the research presented in this thesis is implemented.
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Stochastic Dynamics Models of Plant Population and Species Diversity
This study presents sophisticated error analysis of the Shannon index in time and space. Error of current estimate increases proportional to measurement while the total forecasting error increases very fast in time. Spatial variation contributes the most to the total error of the Shannon index. …
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Decentralized control of sound radiation from periodically stiffened panels
… study of this problem demonstrates that the modeling error introduced by neighboring controllers can be expressed as the product of the complementary sensitivity function of the neighboring control unit multiplied by a term that quantifies the diagonal dominance of the plant. This …
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High Dynamic Range and Omnifocus Imaging
… of many available lenses. We show that this modeling error has serious consequences. We propose a new imaging model that takes into account the actual position of the aperture. We also study the impact of the second assumption about the uniform distribution of light across the aperture on …
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Krylov Projection Methods for Model Reduction
… the matching frequencies, estimating the modeling error, insuring the model's stability, treating multiple-input multiple-output systems, implementing parallelism, and avoiding a need for exact factors of large matrix pencils are all examined to various degrees.
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Adaptive robust model predictive control for nonlinear systems
Modeling error and external disturbances can severely degrade the performance of Model Predictive Control (MPC) in real-world scenarios. Robust MPC (RMPC) addresses this limitation by optimizing over control policies but at the expense of computational complexity. An alternative strategy, known as …
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Direct Adaptive Control for a Trajectory Tracking UAV
… the adaptive system pertaining to the amount of modeling error that can be accommodated by the controller is studied, and the disturbance rejection capabilities and limitations of the controllers are also analyzed. The overall results of this research demonstrate that the direct adaptive control …
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Integrated motion planning and model learning for mobile robots with application to marine vehicles
… of unknown environmental disturbances and modeling error. The convergence rate of the parameter estimates depends on the motion plan, as different plans excite different modes of the system.
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Constrained H̳₂ design via convex optimization with applications
… control specifications including robustness to modeling error and gain and phase margins can be posed with two simple constraints in the frequency and time domain. With some approximation, this formulation allows the controller design problem to be cast as a quadratic program. Two example …
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The Use of Central Tendency Measures from an Operational Short Lead-time Hydrologic Ensemble Forecast System for Real-time Forecasts
… to hydrologic prediction uncertainty is modeling error intro- duced by the measurement and prediction of precipitation. The research presented demon- strates the necessity for using probabilistic methods to quantify hydrologic forecast uncer- tainty due to the magnitude of precipitation …
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Exploration and assessment of the environmental design space for commercial aircraft and future technologies
… Performance Program (NEPP), and found that the modeling error was subsumed within the modeling uncertainty. A sensitivity study indicated that the component efficiencies had the largest impact on the output distribution. When the level of NEPFP uncertainty was propagated to the system level, the …
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Optimizing terminal conditions using geometric guidance for low-control authority munitions
… tightening the tolerances on some key sources of modeling error, and by developing a highly accurate time to impact estimation algorithm. Regardless of the particular modification, better utilizing pre- and post-launch information improves the munition's performance and utility for the user. While …
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Systematic Modeling and Design of Sparse Deep Neural Network Accelerators
… it proposes Sparseloop, the first analytical modeling tool for fast, accurate, and flexible evaluations of sparse DNN accelerators, enabling early-stage exploration of the large and diverse sparse DNN accelerator design space. Across representative accelerator designs and workloads, Sparseloop …
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Markov Modeling of Third Generation Wireless Channels
… wireless channels in a discrete sense. For modeling these channels, mathematical tools known as hidden Markov models are used. These models have proved themselves to be very efficient in many areas of electrical engineering including speech recognition, pattern recognition, artificial …
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Modeling Human And Machine-In-The-Loop In Car-Following Theory
… to accounting for the human-in-the-loop while modeling the longitudinal motion of the vehicles. In fact, a major drawback of existing car-following models is that the human-in-the-loop is not modeled explicitly. This is specifically important since the output from car-following models directly …
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Side-information for steganography design and detection
… are heuristically designed to predict the modeling error, or in other words, how difficult it would be to detect a single change to the original image in any given area. This dissertation investigates how both the design and detection of such content-adaptive schemes can be improved with …
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A design procedure for model reference adaptive control
… algorithms. However, conditions with plant modeling error highlight enormous differences among the four algorithms. Pole placement suffers the largest response error and for extreme testing conditions, instability. The CGT controller exhibits better performance than pole placement and …
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A Refined Methodology for Calibrating Premium Connection Make-ups
… />in the power-tight configuration. Modeling error metrics are developed, and the final 3D-wedge<br />model is evaluated relative to the experimental DIC data.
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Making Sense Out of Uncertainty in Geospatial Data
… paper introduces a framework for classifying and modeling error-bands in a GIS. Paper two tests GIS users' ability to estimate spatial confidence intervals and the third paper looks at the practical application of a set of tools for incorporating uncertainty into overlays. The results from this …
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