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 50 for “"Modeling Uncertainty"”.
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Advancements in Degradation Modeling, Uncertainty Quantification and Spatial Variable Selection
… ADDT data. Monotone B-splines are used to modeling the underlying degradation process. A likelihood based iterative procedure for parameter estimation is developed. The confidence intervals of parameters are calculated using the nonparametric bootstrap procedure. Both simulated data and …
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Numerical modeling, uncertainty analyses, and machine learning for decision support in the geosciences.
My first paper shows the importance of numerical modeling and post-calibration uncertainty analyses for making decision to monitor waste transport at a naval waste repository site in Texas. For this, MODFLOW and MODPATH were used to simulate hydraulic head and particle/tracer travel times. Later, …
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A novel framework for data-driven modeling, uncertainty quantification, and deep learning of nuclear reactor simulations
… presents a novel and modern method for reactor modeling, simulation, and uncertainty characterization through an integrated framework developed under the terminology of combining four fundamental principles in scientific modeling and computing: Physics, Models, Data, and UQ (Uncertainty …
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Advancing the application of computational modeling, uncertainty analysis, and sensitivity analysis for quantitative sustainable design of environmental technologies
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01
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Modeling uncertainty in the New York City no. 7 subway line extension project using Decision Aids for Tunnelling (DAT)
Given the frequent cost overruns and schedule delays associated with underground construction projects, it is imperative that a detailed estimate of both be developed and considered prior to starting construction. The Decision Aids for Tunnelling (DAT) allow engineers to consider the uncertainties …
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Uncertainty in marine structural strength with application to compressive failure of longitudinally stiffened panels
… or reliability-based, to know the level of uncertainty for the methods of strength prediction. The uncertainty associated with strength prediction is the result of ambiguity and vagueness in the system. This study addresses the ambiguity component of uncertainty; this includes uncertainty …
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Modeling and controlling uncertainty in multi-level biological systems
Mathematical modeling is essential to the understanding and design of biological systems. Modeling uncertainty, which variously represents lack of data, variability between individuals and between different measurements of a single individual, ambiguity in the proper model form, and others, is …
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Adaptive Robust Control
… The essential idea involved is to fragment the modeling uncertainty in a physical plant into "small" families of plant models for which robust linear time-invariant controllers can be readily designed. We then implement a convex combination of these controllers, the parameters of which are tuned …
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Novel frameworks for auctions and optimization
… parts. Part I introduces novel frameworks for modeling uncertainty in auctions. This enables us to provide robust analysis to alternative specifications of preferences and information structures in Vickrey and VCG auctions. Part II introduces novel frameworks for understanding first-order …
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Observer-based robust fault estimation for fault-tolerant control
… subject to bounded faults, complexity and modeling uncertainty. Based on this definition this thesis is concerned with the theoretical developments of the combination of robust fault estimation (FE) and robust active fault tolerant control (AFTC) for systems with both faults and …
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Control Design for Long Endurance Unmanned Underwater Vehicle Systems
… efficient performance. AUVs have many sources of modeling uncertainty that impact the uncertainty in maneuvering performance. A robust control design process is proposed to handle these uncertainties while meeting control system performance objectives. We investigate the relationships between …
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Computational fluid dynamics and turbulence model uncertainty quantification for nuclear reactor safety applications
… (RANS) equations describing fluid flow. Uncertainty arises in CFD simulations due to a variety of sources, and this uncertainty must be rigorously quantified in order to be useful in support of reactor licensing and decision making. In traditional system thermal hydraulics codes, the code …
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Modeling and identification of time-varying systems - A wavelet approach
The present work proposes a methodology for modeling and identification of boundedinput bounded-output (BIBO) time-varying (TV) system impulse responses based on a wavelet approach. This approach permits representation of a time-varying system impulse response in the auxiliary domains, commonly …
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Reliability Analysis of Carbon Fiber Reinforced Polymer (CFRP) Strengthened Steel Beams
… the DLS joints was compiled to study the model uncertainty for the widely adopted Hart-Smith model. Reliability methods, namely, Monte Carlo Simulation (MCS) and First-Order Reliability Method (FORM) have been performed to calculate the resistance factors of DLS joints for different design …
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Reinforcement Learning Control for Mobile Robot Parking with Safety Constraints
… trajectories and maintains performance under modeling uncertainty and input noise.</p> <p>To address hard safety requirements in obstacle-rich settings, we augment the RL policy with a CBF safety filter that enforces forward invariance of a state-based safe set in real time. Experiments show …
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Robust Distributed Stabilization of Interconnected Multiagent Systems
… designed algorithm, the effect of modeling uncertainty may propagate over the communication and coupling topologies and degrade the overall performance of the system. We address this problem by proposing single- and multi-layer structures. The former is used for both individual and …
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Development of a Multi Design Point Optimization Framework for Gas Turbine Cycles
… and validation of an in-house engine performance modeling tool, CY23, as a foundation for multi-design point optimization of aero gas turbines. While the original intent was to construct a complete optimization framework, the primary contribution of this work lies in the creation, enhancement, and …
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Exploration and assessment of the environmental design space for commercial aircraft and future technologies
… thesis were to assess the fidelity and level of uncertainty of the design framework, to characterize the tradeoffs between aircraft noise, emissions and aircraft performance and to evaluate the system-level impacts of a future noise reduction technology. Assessment of the EDS framework was …
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HYSTAR: Hydrology and Sediment Transport Simulation using Time-Area Method
… of H/WQ (Hydrology and Water Quality) modeling by facilitating a way to explicitly incorporate spatial characteristics of a watershed into the model. The time-area approach, with its intuitive and inherently distributed concept, provides a simple method to simulate runoff mechanisms. …
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Decentralized sliding mode control and estimation for large-scale systems
… that involves unknown subsystem interactions and modeling uncertainty. Strategies for both actuator and sensor fault estimation using decentralized SMO are discussed.The thesis also provides a case study of the SMC and SMO concepts applied to a non-linear annealing furnace system modelderived from …
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