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 25 for “"uncertainty model"”.
-
Model Uncertainty & Model Averaging Techniques
… research is to shed more light on the issue of model uncertainty in applied econometrics in general and cross-country growth as well as happiness and well-being regressions in particular. Model uncertainty consists of three main types: theory uncertainty, focusing on which principal determinants …
-
An uncertainty model of a non-ideal open area test site for electromagnetic measurement
… measurements in the non-ideal OATS have higher uncertainty. In addition, the existing model to analyse the measurement uncertainty is not adequate. Therefore, this research proposes an uncertainty model of a non-ideal OATS for electromagnetic measurement to analyse the measurement uncertainty …
-
Temperature Dependent Robust Control Of Hard Disk Drives Using Parameter Varying Techniques
… performance to thousands of drives. An adequate uncertainty model designed using first principles is not available for robust controller design. Thus a set of frequency response data (FRD) measured from a number of HDDs and at different temperature points is used to design the uncertainty model …
-
Gain scheduling for geometrically nonlinear flexible space structures
… structures with gimballing solar arrays. The modeling approach is motivated by the lack of in situ test data available for design of 0-g controllers. A Linear Fractional form allows the nonlinear and uncertain aspects of the structure to be modeled independently. The geometric nonlinearity is …
-
Uncertainty and the effects of a pay-as-you-go social security program on economic growth
… wages and interest rates in the context of uncertainty. Individual consumption-savings and portfolio decisions are integrated into stochastic growth models to find how a social security program alters intermediate and long-run equilibrium factor payments. Two forms of uncertainty are used, …
-
Mu-synthesis controller design for temperature control of a solar steam gasifier with uncertainty modeling and robust analysis
… fed into the reactor core. A high fidelity model developed in previous work was utilized to create a linear, time-invariant model for controller synthesis. Multiplicative uncertainty was used to create an uncertainty model to quantify and account for the dissimilarities between the high …
-
GPU-ACCELERATED CROWD SIMULATION WITH USER-GUIDANCE AND MULTI-LEVEL UNCERTAINTY
… and continuum crowd method. Also, the two-level uncertainty model is imposed onto the above crowd dynamic system to simulate non-goal driven behavior. All of the computations are accelerated by using GPU. Through our experiments and comparisons, we demonstrates the advantages of our approach.
-
Modelling uncertainty of cost and time in infrastructure projects
… tools and techniques used to forecast possible uncertainty in the construction processes are a primary cause of cost overruns and time delays on construction projects. Uncertainties encountered in the construction process are underestimated and these impact on the final cost and time of …
-
Towards location-awareness in next generation wireless networks : a new approach based on channel state information
… measurements using a sparsity promoting prior model, which addresses the difficulty of unknown number of multipath in estimating the CIR. The estimation layer infers node positions based on the SI of the CIR using a delay-origin uncertainty model, which describes the conditional distribution of …
-
Optimization under moment, robust, and data-driven models of uncertainty
… duality theory. We then propose a moment-based uncertainty model for stochastic optimization problems, which addresses the ambiguity of probability distributions of random parameters with a minimax decision rule. We establish the model tractability and are able to construct explicitly the …
-
Cloud Broker Based Trust Assessment of Cloud Service Providers
… the cloud service providers. We propose a trust model that considers real-time cloud transactions to model the trustworthiness of the cloud service providers. The trust model uses the unique uncertainty model used in the representation of opinion. The Trustworthiness of a cloud service provider …
-
The robust stability of iterative learning control
… robustness, and also the robustness of inverse model-based techniques. The robust stability tool applied to ILC in this thesis is not restricted in its analysis to algorithms which are 'causal' (in an ILC sense); and is based on a general unstructured uncertainty model in contrast to the …
-
Adaptive robust optimization with applications in inventory and revenue management
… for solving dynamic optimization problems under uncertainty, whereby one considers decisions that depend directly on the sequence of observed disturbances. The resulting policies, called recourse decision rules, originated in Stochastic Programming, and have been widely adopted in recent works in …
-
Analytic chance constraints for the robust guidance of autonomous parafoils
… future states. A trained multi-class wind uncertainty model is introduced to classify and anticipate the effect of future wind disturbances online. Utilizing this model, robustness to wind variations is achieved via a novel analytic uncertainty sampling technique, allowing the probability …
-
Numerical modeling of a bridge system & its application for performance-based earthquake engineering
… performed to understand and validate numerical modeling strategies to capture soil-pile-structure interaction of bridge structures. The study included shaking in several directions, pile embedment lengths, and various levels of nonlinearity. Sensitivity studies were conducted for a bent and a …
-
Ionic separation in electrodialysis : analyses of boundary layer, cationic partitioning, and overlimiting current
… used to estimate the statistical parameters. An uncertainty model was developed for the steady-state ionic transport in a two-dimensional cell pair. Faster ionic separations were achieved with smaller means, greater standard deviations, and more positive correlation coefficients. With the …
-
Life cycle inventory uncertainty in resource-based industries : a focus on coal-based power generation
… imprecise processes and diffuse emissions. The modelling of the environmental performance of such processes therefore raises significant challenges, where many disparate sources of data, available at different levels of aggregation, and over various time intervals, have to be brought together …
-
The economics of alternative fuel cycles on sodium-cooled fast reactors and uncertainty and sensitivity analysis of cost estimates
… work was done to create a baseline capital cost model for the SFR in which case studies were performed to identify ways to decrease the capital costs while maintaining safety and performance. This thesis expands on the capital cost model to include uncertainty analysis, as well as performing …
-
Neurocognitive Mechanisms of Learning and Decision-Making in Adolescent-OCD: A Computational Approach
… with OCD are abnormal decision-making under uncertainty and impaired learning, and I decided to focus on these features as they may be driving poor academic attainment in young people with the disorder. In addition, I sought to investigate other cognitive processes that have not been …
-
Structure from Motion Using Optical Flow Probability Distributions
Several novel structure from motion algorithms are presented that are designed to more effectively manage the problem of noise. In many practical applications, structure from motion algorithms fail to work properly because of the noise in the optical flow values. Most structure from motion …
Page 1 of 2