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 75 for “"parameter uncertainty"”.
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Evaluation of GLEAMS considering parameter uncertainty
… procedures. The probabilistic procedure reduced parameter uncertainty by eliminating arbitrary parameter selection from available data by utilizing the complete range of data, however, it did not eliminate uncertainty in the data itself.
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Parameter uncertainty in nonpoint source pollution modeling
… in many cases results in considerable uncertainty in model input parameters, and therefore, model outputs. Uncertainty in input parameters has important implications for model use in simulation studies and for procedures used to validate and evaluate models. Several management-oriented …
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Optimal draining of fluid networks with parameter uncertainty
… of the makespan problem, it is assumed that the parameters of the system, such as incoming rates, service rates and initial inventory, are known deterministically. The deterministic version of the makespan problem for reentrant lines and multiclass fluid networks has been investigated in the …
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Linear Parameter Uncertainty Quantification using Surrogate Gaussian Processes
We consider uncertainty quantification using surrogate Gaussian processes. We take a previous sampling algorithm and provide a closed form expression of the resulting posterior distribution. We extend the method to weighted least squares and a Bayesian approach both with closed form expressions of …
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Robust control design with real parameter uncertainty using absolute stability
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1993.
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Model parameter uncertainty and climate change effects in hydropower vulnerability projections
… component of this vulnerability is how model parameter uncertainty affects simulated reservoir levels. Here, I investigate the extent to which large-scale hydrologic models can capture the effect of climate change on reservoir levels for three reservoirs in California, and how parameter …
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Toward improved evaluation of large scale hydrologic models: estimation and quantification of parameter uncertainty
… hydrologic models that use a wide range of parameters to represent hydrologic processes both in space and time, many challenges arise with respect to simulation and quantification of uncertainty. The goal of this research is to introduce strategies to effectively and efficiently estimate and …
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Accounting for parameter uncertainty and temporal variability in coupled groundwater-surface water models using component and systems reliability analysis
… uncertain and spatially variable hydrogeological parameters, as well as temporally uncertain streamflow. In this study a novel component - systems reliability analysis framework is developed to assess risk. Physical parameters uncertainty is studied in light of the Glover-Balmer and MODFLOW …
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Sensitivity Constrained Nonlinear Programming: A General Approach for Planning and Design Under Parameter Uncertainty and an Application to Treatment Plant Design
… problem with using mathematical models is that parameter values, and thus the model results, are often uncertain. A general approach, Sensitivity Constrained Nonlinear Programming (SCNLP), was developed for extending nonlinear optimization models, to include functions that depend on the system …
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Flux-Independent Uncertainty Propagation of Nuclear Cross Section Data Using the Windowed Multipole Formalism
… The first portion explores the use of resonance parameter uncertainty data in the generation of multi-group cross section libraries. Multigroup cross section uncertainties are fundamentally flux and temperature-dependent, but are often used as general purpose across multiple applications. …
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Multivariate Steepest Ascent Using Bayesian Reliability
… considered the correlations of the responses or parameter uncertainty. We propose a new method using the Bayesian reliability to calculate this direction. We utilize this method with four examples: a 2 factor, 2-response experiment where the paths of steepest ascent are similar, ensuring our …
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Inverse uncertainty quantification of input model parameters for thermal-hydraulics simulations using expectation-maximization under non-Bayesian and Bayesian framework
Uncertainty quantification of computer simulation response requires knowledge of input model parameter uncertainty. However, like most system codes, nuclear thermal-hydraulics code TRACE does not provide any information on statistical properties of input model parameters. Moreover, the input model …
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Adaptive Identification of Nonlinear Systems
This work presents three techniques for parameter identification for nonlinear systems. The methods presented are expanded from those presented in Adetola and Guay [3, 4, 5] and are intended to improve the performance of existing adaptive control systems. The first two methods exactly recover …
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Signalakquisition in DS-Spreizspektrum-Systemen und ihre Anwendung auf den 3GPP-FDD-Mobilfunkstandard
… acquisition is to coarsely estimate the signal parameters such that the succeeding parameter tracking algorithms can be initialized. In particular, acquisition is needed to coarsely synchronize the receiver to the timing and frequency of the received signal. For this purpose mainly data aided …
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Nonprehensile Manipulation of Multi-Link Hinges
… nonrigid object are generally governed by more parameters than rigid bodies, robustness to parameter uncertainty is particularly important for these types of tasks. In this work, we propose several Cartesian impedance controllers which utilize vision feedback, force feedback, or both to fold a …
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Vibrational Control of a Cantilever Beam Using Sensor and Actuator Averaging Methods
… a spatial filter that is insensitive to model parameter uncertainty. We develop a controller to actively control cantilever beam vibration using accelerometer input. The controller is a classic single-sensor single-actuator system that achieves a phase margin of 31° and bandwidth of 3.5 kHz. We …
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Life cycle inventory uncertainty in resource-based industries : a focus on coal-based power generation
… this thesis to include all relevant sources of uncertainty encountered in LCA models explicitly, where empirical parameter uncertainty, model parameter uncertainty, and uncertainty in model form are investigated in a looped fashion. The innermost loop assesses empirical uncertainty in an …
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Parameter Importance of an Analytical Model for Transport in the Vadose Zone
… models generally require site specific input parameters. To increase efficiency it would be helpful to know which parameters have large affects on model output and which parameters do not affect the model output significantly. There have been many studies focused on model sensitivity to input …
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