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Masters Defense: Dylan Jones

Modular Memory Unit Controllers for a Hybrid Power Plant

Major Professor: Dr. Kagan Tumer

Hybrid Power systems which incorporate multiple energy sources introduce increased complexity, resulting in challenges for system control. In this project, we compare the performance of a memory based neural network architecture - Modular Memory Unit (MMU), with a simple feedforward neural network (FF). We train and test the controllers on tracking target setpoint profiles, with and without sensor noise during training and testing. Our results show that the memory based architecture - MMU is able to perform better on all tested scenarios. 

Tuesday, December 10, 2019 at 10:00am

Rogers Hall, 226
2000 SW Monroe Avenue, Corvallis, OR 97331

Event Type

Lecture or Presentation

Event Topic


College of Engineering, Mechanical, Industrial, and Manufacturing Engineering
Contact Name

Dylan Jones

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