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 12 of 12 for “"Data Driven Control"”.
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Robust, risk-sensitive, and data-driven control of Markov Decision Processes
… and we develop a new connection between robust control of uncertain MDPs and risk-sensitive control of dynamical systems. The first approach assumes a model of model uncertainty and formulates the control of uncertain MDPs as a problem of decision-making under (model) uncertainty. We establish …
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Monitoring and control for NGL recovery plant
… (NGL) and the challenge of monitoring and controlling the fractionation process. NGLs are the C2+ hydrocarbon fraction contained in natural gas, which includes useful feedstocks for industrial production processes. Since NGLs have greater economic value compared to natural gas, their …
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Methods Of Distributed And Nonlinear Process Control: Structuredness, Optimality And Intelligence
… large-scale networks, which are difficult to control effectively. The traditional challenges faced by process control, as well as the modern vision of transitioning industries into a smart manufacturing paradigm, requires the instillation of new perspectives and application of new methods to …
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Learning-Based Pareto Optimal Control of Large-Scale Systems with Unknown Slow Dynamics
We develop a data-driven approach to Pareto optimal control of large-scale systems, where decision makers know only their local dynamics. Using reinforcement learning, we design a control strategy that optimally balances multiple objectives. The proposed method achieves near-optimal performance and …
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Model-Based and Data-Driven Covariance Control: Theory and Applications
Control under uncertainty is at the cornerstone of modern control theory, yet traditional methods often 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 …
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Learning and Control of Network Phenomena
… that this thesis considers span the learning and control of network phenomena via graph matrices: learning structural correspondences across correlated networks; identification of unknown networked dynamical systems with known control inputs; the generalization performance of machine learning …
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Simulation- and Experiment-Based Setpoint Control for Heating, Ventilation, and Air-Conditioning Systems: A Single- and Multi-Objective Optimization Problem
… installed with energy-efficient appliances, and controlled by advanced technologies to provide user comfort while minimizing their environmental impact. This thesis focuses on utilizing setpoint control methods to design algorithms for operating thermostatically controlled appliances such as HVAC …
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Realising data-centric UAV autonomy through learning-based prediction and feedback integration
… dynamics and distribution shift, where classical controllers depend on accurate models and extensive gain tuning. This dissertation develops an end-to-end pipeline — from raw flight logs to a deployable closed loop — that combines data-driven prediction, evolutionary optimisation, and classical …
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Automated to ols for Contour Review in Radiotherapy
… cause for modification (related to tumor control); in one in ten cases, it is normal tissue sparing (related to treatment toxicity). Essentially all North American institutions with accredited residency training programs hold peer review to some capacity. However, accessibility to …
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Modelling and optimal control of wave energy systems: A data-driven approach
L'abstract è presente nell'allegato / the abstract is in the attachment