Date of Award

Spring 2025

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Electrical & Computer Engineering

Program/Concentration

Modeling and Simulation

Committee Director

James F. Leathrum, Jr.

Committee Member

John A. Sokolowski

Committee Member

Hong Yang

Abstract

Simulation is an essential tool for virtualizing systems by creating a representative model of real or hypothetical systems and observing how they change over time. Two predominant simulation paradigms include Discrete Event Simulation (DES) and Continuous Simulation, which both have their strengths and weaknesses. DES does not handle continuous state variables, while continuous simulation handles continuous state variables but encounters errors where these variables have discrete changes in their behavior. This difficulty between the two predominant simulation paradigms prompted the creation of a new simulation paradigm to cover this gap: Discrete Rate Simulation (DRS). DRS as a simulation paradigm focuses on simulating continuous state variables but with a focus on an event-driven environment to observe key events, which is not a feature inherently built into Continuous Simulation.

DRS has been incorporated in some pieces of academic research and included in commercial software applications, but a formal simulation model for DRS for the academic community has not been presented. This paper seeks to introduce a formal simulation model for DRS by presenting a novel approach for simulating Discrete Rate State Variables.

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In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

DOI

10.25777/3jyg-cm33

ISBN

9798280748934

ORCID

0009-0004-7761-1237

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