Browsing by Author "Valasek, John"
Now showing items 21-40 of 90
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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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Pasupuleti, Murali Krishna (2012-10-19)This thesis presents an approach towards experimental realization of underactuated bipedal robotic walking using human data. Human-inspired control theory serves as the foundation for this work. As the name, "human-inspired ...
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Harris, Amanda Lynne (2012-07-16)A method of controller design for multiple input multiple output (MIMO) system is needed that will not give the high order controllers of modern control theory but will be more systematic than the “ad hoc” method. The ...
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Wagner, Thomas William, Jr. (Texas A&M University, 2007-09-17)Autoland controllers are prevalent for both large and small/micro unmanned aerial vehicles, but very few are available for medium sized unmanned aerial vehicles. These vehicles tend to have limited sensors and instrumentation, ...
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Discretization and Approximation Methods for Reinforcement Learning of Highly Reconfigurable Systems Lampton, Amanda K. (2010-07-14)There are a number of techniques that are used to solve reinforcement learning problems, but very few that have been developed for and tested on highly reconfigurable systems cast as reinforcement learning problems. ...
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Elliott, Matthew Stuart (2013-07-05)Heating, ventilation, air conditioning, and refrigeration (HVAC&R) systems are a major component of worldwide energy consumption, and frequently consist of complex networks of interconnected components. The ubiquitous ...
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DOA Convergence of Unstructured Distributed Arrays with Time-varying and Space-varying Morphologies Chen, Zhong (2017-08-04)This thesis mainly focuses on the research of the factors that influence the accuracy and efficiency of a UAV-based radio frequency (RF) and microwave data collection system. Swarming UAVs can be utilized to create the ...
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Rashdan, Mouath (2014-01-16)Analyzing the characteristics of higher order nonlinear dynamic systems is really difficult. This can involve giving solutions with respect to time. Motion constants are another way of studying the behavior of the dynamic ...
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Sovinsky, Michael Charles (Texas A&M University, 2007-04-25)The Poincare equations, also known as Lagrange's equations in quasi coordinates, are revisited with special attention focused on a diagonal form. The diagonal form stems from a special choice of quasi velocities that were ...
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Estimation algorithm for autonomous aerial refueling using a vision based relative navigation system Bowers, Roshawn Elizabeth (Texas A&M University, 2005-11-01)A new impetus to develop autonomous aerial refueling has arisen out of the growing demand to expand the capabilities of unmanned aerial vehicles (UAVs). With autonomous aerial refueling, UAVs can retain the advantages of ...
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Long, Robert Raymond (2017-10-17)Wind turbine blades are growing progressively larger and lighter relative to their size, and these trends can lead to early failure due to fatigue. Effort to design fatigue-resistant blades relies on understanding of ...
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Ramos Zuniga, Jose Humberto (2020-06-09)A Schmidt filter is a modification of the Kalman filter that allows to append system parameters as states and considers their uncertainty effect in the filtering process without attempting to estimate such parameters. The ...
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May, James F (2013-03-18)A need has arisen for an easy-to-use, flexible, transparent, and cross-platform communication backbone for configuration and execution of distributed simulations and experiments. Open source, open architecture, and custom ...
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Harris, Matthew Wade (2012-02-14)This work provides first and second-order expressions to approximate neighboring solutions to the m-point boundary value problem. Multi-point problems arise in optimal control because of interior constraints or switching ...
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Marwaha, Monika (2009-05-15)The promise and potential of controllers that can reconfigure themselves in the case of control effector failures and uncertainties, and yet guarantee stability and provide satisfactory performance, has led to fault tolerant ...
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Saha, Dipanjan (2018-12-10)Nonlinear systems with dynamics evolving in distinct slow and fast time-scales are common in science and engineering. Geometric singular perturbation theory is a powerful tool for controller design for such systems over ...
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Coleman, David Allen (2022-01-07)Hummingbird flight is a marvel of the natural world of flight, filled with intricacies and nuances that enable some of the most impressive aerial performances, multi-modal flight capability, and exceptional maneuverability ...
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Kumar, Sandip (2012-02-14)The motion planning problem can be formulated as a Markov decision process (MDP), if the uncertainties in the robot motion and environments can be modeled probabilistically. The complexity of solving these MDPs grow ...
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Lucas, Amy Marie (2010-10-12)The author develops a nonlinear longitudinal model of an aircraft modeled by rigid fuselage, tail, and wing, where the wing is attached to the fuselage with a torsional spring. The main focus of this research is to retain ...
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Lee, Bochan (2018-07-31)This research focuses on developing a helicopter autonomous ship landing algorithm based on the real helicopter ship landing procedure which is already proven and currently used by Navy pilots. It encompasses the entire ...