Term of Award

Spring 2020

Degree Name

Master of Science, Electrical Engineering

Document Type and Release Option

Thesis (restricted to Georgia Southern)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


Department of Electrical and Computer Engineering

Committee Chair

Weinan Gao

Committee Member 1

Junan Shen

Committee Member 2

Mohammad Ahad


The research of reinforcement learning is increasing recently due to its application in different fields, such as control engineering, transportation systems, power system control, and medical science. In this thesis, we have developed a distributed internal adaptive model to solve problems related to cooperative output regulation and an adaptive distributed observer to estimate the leader’s system matrix. We designed a novel distributed predictive cruise control algorithm using reinforcement learning. The main objective of this controller is to reduce travel time and fuel consumption depending on the adjustable speed of the vehicle. This thesis integrates the control algorithm and Paramics microscopic traffic simulations using an application programming interface. We studied the distraction of drivers for different counter measurements, such as text messaging, eating, talking to another passenger, observing advertising boards, and their combinations. The data of steering angle deviation and velocity deviation are analyzed by using statistical tools.

OCLC Number


Research Data and Supplementary Material