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 21 for “"Stochastic Environments"”.
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On maximum-reward motion in stochastic environments
… of an autonomous mobile robot operating in a stochastic reward field to maximize total rewards collected in an online setting. This is a generalization of the problem where an unmanned aerial vehicle (UAV) collects data from randomly deployed unattended ground sensors (UGS). Specifically, the …
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Analytical and computational methods for non-Gaussian reliability analysis of nonlinear systems operating in stochastic environments
… and construction, and by the inherently stochastic nature of random waves. Due to the dynamical nonlinearity of these systems, the statistical response is typically non-Gaussian with highly non-trivial distribution tails, making the problem of risk analysis a very hard one. However, …
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Multiobjective Simulation Optimization Using Enhanced Evolutionary Algorithm Approaches
… The problem becomes much more complicated in stochastic environments when the objectives take on uncertain (or "noisy") values due to random influences within the system being optimized, which is the case in real-world environments. Moreover, in stochastic environments, a solution approach …
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Multi-Objective Reinforcement Learning Framework for Unknown Stochastic & Uncertain Environments
… handling during learning, by agents dealing in stochastic environments by means of Multi Objective Reinforcement Learning (MORL). Most previous investigations into multi objective reinforcement learning have proposed algorithms to deal with the learning performance issues but have neglected the …
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Ridge Estimation and its Modifications for Linear Regression with Deterministic or Stochastic Predictors
… several alternatives in both deterministic and stochastic environments. We find the ridge to be effective when the sample size is small relative to the number of predictors. However, we also identify a few cases where some of the alternative estimators can outperform the ridge estimator. …
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Managing variability in the semiconductor supply chain
… to properly manage supply chains in highly stochastic environments.
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Optimal bioeconomic management of changing marine resources
… explore this last case in both deterministic and stochastic environments, and also allow the harvester to learn about unknown parameters of the stock recruitment model while harvesting. I also develop an unambiguous definition of and describe a statistical test for a shift in a species' spatial …
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Model-Based and Data-Driven Covariance Control: Theory and Applications
… struggle with ensuring safety and robustness in stochastic environments. This dissertation advances the theory of covariance steering (CS), which shifts the focus from controlling specific system states to steering entire state distributions under constraints. Historically, CS has been applied to …
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Optimal bioeconomic management of changing marine resources
… explore this last case in both deterministic and stochastic environments, and also allow the harvester to learn about unknown parameters of the stock recruitment model while harvesting. I also develop an unambiguous definition of and describe a statistical test for a shift in a species' spatial …
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Approximate Dynamic Programming with Parallel Stochastic Planning Operators
… agents. The agent learns a set of parallel stochastic planning operators (P-SPOs) by evaluating changes in its environment in response to actions, using an association rule mining approach. An approximate policy is then derived by iteratively improving state value aggregation estimates …
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Digital Twin Platform for Drone Applications
… DRL research, a suite of deterministic and stochastic environments is introduced. These environments balance reproducibility and realism by modeling communication delays, timing variations, and other uncertainties, while remaining compatible with widely used DRL libraries. Their …
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Economic behavior from an evolutionary perspective
… The degree of risk aversion is determined by the stochastic nature of reproductive rates, and different statistical properties lead to different utility functions. More generally, irrational behaviors are not just mere divergence from rationality, but seeds necessary for successfully coping with …
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Energy harvesting of random wide-band vibrations with applications to an electro-magnetic rotational energy harvester
… ambient vibrations are noisy, wide-band, and/or stochastic. As such, a resonant tuned-mass damper, with a narrow band-width, filters and discards much of the energy in the vibration spectrum, or worse, resonant harvesters will not resonate in stochastic environments. Several solutions are …
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Task Modeling, Sequencing, and Allocation for In-Space Autonomous Assembly by Robotic Systems
… giving the ability to re-plan in real world stochastic environments. This work presents four contributions towards a system allowing for the autonomous sequencing and allocation of tasks for in-space assembly problems. The first contribution is the development of the Stochastic Assembly …
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Using stable isotopes to trace the movements of ducks in southern Africa
… of species based on the technique at least in stochastic environments such as southern Africa. My results provide empirical evidence that the technique is unreliable at this scale of analysis. In particular, the majority of ducks in this region are not good candidates for use of isotopic …
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Robust distributed planning strategies for autonomous multi-agent teams
… and react slowly to local changes in dynamic environments. Distributed approximate algorithms, where agents plan individually and coordinate with each other locally through consensus protocols, can alleviate many of these issues and have been successfully used to develop real-time …
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Strategic flexibility
… cope with today's volatile environment. As the environments become more unpredictable and volatile, it is imperative for a flexible system to respond quickly to a change in its circumstance. How much flexibility is embedded into the system also has a critical impact on the long-term …
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Essays on the optimum quantity of money
… 1983, Taub 1989) have extended the analysis to stochastic environments. The first two essays of the dissertation address the issue in two types of stochastic economies. In both the models, quadratic utility and linear constraints have been used to facilitate the use of Whiteman’s techniques …
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The Limits of Self-Control: Self-Control, Illusory Control, and Risky Financial Decision Making
… sub-optimal choices on financial risk-taking in stochastic environments. However, because the effect was non-selective, the precise causal mechanism and its relations to self-control still remained to be determined. In Studies 4 and 5, we were able to disambiguate the mechanism behind the …
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Lot Streaming in Two-Stage Flow Shops and Assembly Systems
… optimal sublot sizes for use in various machine environments and optimizes different performance measures.Given this relationship between lot streaming and the Toyota Production System, lot streaming can be considered a generalization of lean principles. In this dissertation, we first provide a …
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