Browsing by Author "Kalathil, Dileep"
Now showing items 1-20 of 37
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Balasubramanian, Suprith (2022-04-22)The guiding design principle behind humans building machines has been the repeated execution of a particular task in a precise and efficient manner. While we have systems that can solve tasks ranging from the relatively ...
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Abu Khalifa, Yousef Abdalla (2023-05-03)This thesis presents a methodology for creating and solving of a synthetic combined electric and natural gas transmission network, along with representative benchmark results. The systems do not contain actual, confidential ...
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Bera, Ritwik (2022-01-11)Recent successes in the field of robot learning have combined reinforcement learning algorithms and deep neural networks. Yet, reinforcement learning has not been widely applied to robotics and real world scenarios. This ...
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Shen, Yuling (2021-12-02)This research is aimed at making contributions in three fundamental problems in systems and control. The problems are broadly known as system identification, optimal simulation and data-based control. The system identification ...
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Garcia Buzzi, Pau (2021-07-14)With the recent advances in satellite miniaturization, communication and information technologies, there has been a paradigm shift in space exploration missions over the last few decades. This paradigm shift involves the ...
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Xiang, Ziyu (2020-11-17)Automatic Feature Engineering (AFE) aims to extract useful knowledge for interpretable predictions given data for the machine learning tasks of interest. Here, we develop AFE to extract dependency relationships that can ...
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Capps, David Edward (2021-07-23)A novel solution to conditionally tensile member modeling with conditional, comprehensive, body interactions is used to simulate the dynamic interactions of a body with a net made of connected strings. The modeling solution ...
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Bura, Archana (2023-07-26)We first consider dynamic priority resource allocation for media streaming applications at a wireless edge (access) network. We realize that by formulating the policy design question as a CMDP, and decompose it into ...
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Zheng, Xiangtian (2023-08-03)In an era of rapid decarbonization and increasing adoption of renewable energy resources, the maintenance of power grid stability and security presents an evolving set of challenges and opportunities. Modern power grids, ...
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Wang, Ran (2022-06-22)The problem of Reinforcement Learning (RL) is equivalent to the search for an optimal feedback control policy from data without system dynamics information. Most RL techniques search over a complex global nonlinear ...
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Vaidya, Gargi Yatin (2021-12-07)Conventional autonomous navigation framework for mobile robots is highly modularized with various subsystems such as localization, perception, mapping, planning and control. Although these provide easy interpretation, they ...
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Venkatesan, Rangeesh (2021-08-13)This thesis is concerned with the design of an integrated longitudinal and lateral controller for a platoon of connected and automated vehicles executing an emergency lane change maneuver. The efficacy of the designed ...
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Bryant, Tyler Aryn (2022-08-17)The focus of this thesis will be the development of a tensegrity flywheel with the goal of minimizing the mass while achieving the desired amount of angular momentum for attitude control of a spacecraft. Currently, flywheels ...
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Baskaran, Akash (2019-11-04)Autonomous Vehicles has been a topic which has been highly researched in recent times. The number of vehicles with Autonomous capabilities, specifically Advanced Driver Assistance Systems (ADAS) has been increasing in the ...
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Rengarajan, Desik (2023-07-07)Reinforcement learning is a powerful approach for training intelligent agents to make decisions in complex environments. However, these algorithms often struggle when faced with challenging scenarios, such as sparse reward ...
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Ghosh, Indrajit (2022-06-15)This dissertation focuses on solving some of the most interesting theoretical and methodological questions arising out of various different disciplines with a Bayesian perspective. With the advent of large scale dataset ...
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Potter, Vincent TThis paper contains research into efficient autonomous navigation algorithms powered by deep reinforcement learning. These algorithms enable a mobile robot to perform waypoint tracking in an indoor environment. The robot ...
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Zhou, Ruida (2023-07-23)We study the usage of information-theoretic measures in learning problems. The first problem considered is the algorithm-dependent generalization error bound. Conceptually, the mutual information between the output of ...
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Goyal, Raman (2020-06-17)For centuries researchers have been pushing the boundaries of their respective technical domains, but it is only a few decades ago that research started taking its dig on system design theory. A system design theory ...
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Hasanzadezonuzy, Aria (2021-10-14)Many physical systems have underlying safety or capacity considerations that require that the control policy employed ensures the satisfaction of a set of constraints. For instance, in a data network, in addition to ...