UROP Research Mentor Project Submission Portal: Submission #1239

Submission information
Submission Number: 1239
Submission ID: 20791
Submission UUID: 16fb83c0-d6e8-4607-a782-b8a6458fcd58

Created: Mon, 08/18/2025 - 02:06 PM
Completed: Mon, 08/18/2025 - 04:07 PM
Changed: Mon, 08/25/2025 - 12:22 PM

Remote IP address: 68.63.41.233
Submitted by: Anonymous
Language: English

Is draft: No

Research Mentor Information

Fengjiao Liu
She/her
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fliu@eng.famu.fsu.edu
Faculty
FAMU-FSU College of Engineering
Electrical and Computer Engineering
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Additional Research Mentor(s)

Xiaoyang Ming
He/his
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xm24b@fsu.edu
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Overall Project Details

Convergence Rate Analysis in Multi-Agent Systems
multi-agent system, graph theory, reinforcement learning
Yes
1
Computer Science, Electrical and Computer Engineering, Mathematics, Statistics, Data Science, Mechanical Engineering, Industrial & Manufacturing Engineering
The location is flexible, we can discuss on Zoom or on Engineering campus, or occasionally on FSU main campus
No, the project is remote
Fully Remote
6 hours per week
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
In multi-agent systems, multiple (intelligent) agents often need to reach consensus on their decisions via local communication with their neighboring agents within their sensing radii. Naturally, the convergence rate of their decisions depends on how well-connected their communication network is. In this project, we propose to study how adding and removing an edge in the communication network, which can be either directed or undirected, will affect the convergence rate of the consensus for multi-agent systems. In particular, given a communication network, we would like to study adding (or removing) which edge will contribute the most to increasing (or decreasing, respectively) the convergence rate. We may need to adopt a reinforcement learning approach for this project.
literature review, understanding the convergence rate from a graph-theoretical point of view, simulation and coding.
Recommended: a certain level of math background to understand the problem from a graph-theoretical point of view.
Required: coding and programming skills.
The students should have a good math background and are expected to work independently and plan their timelines. The advisor and students can have a short Zoom meeting biweekly to discuss progress and challenges.
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No

UROP Program Elements

Yes
Yes
Yes
Yes
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2025
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=L-d6DjofCxUTDYoQEIMU1cMmxLg41Yw5IeKbbmf8xEA