Search
Skip to Search Results-
Spring 2021
Learning about many things can provide numerous benefits to a reinforcement learning system. For example, learning many auxiliary value functions, in addition to optimizing the environmental reward, appears to improve both exploration and representation learning. The question we tackle in this...
-
Adaptive and Autonomous Switching: Shared Control of Powered Prosthetic Arms Using Reinforcement Learning
DownloadFall 2016
Powered prosthetic arms with numerous controllable functions (i.e., grip patterns or movable joints) can be challenging to operate. Gated control---a common control method for myoelectric arms and other human-machine interfaces---allows users to select a function by switching through a static...
-
Fall 2012
Over the past decade improvements in semiconductor technology have led to faster power electronic switches with higher ratings. These devices have been used to improve the performance of various power converter systems. In particular, the Voltage Source Converter (VSC) has been widely used in...
-
Spring 2017
Adaptive approaches for model-based fault detection, diagnosis and control are the focus of this research. Both analytical and data-driven model-based techniques are studied along with the investigation of their practical applications. This thesis is organized in two parts. In Part I, adaptive...