UROP Research Mentor Project Submission Portal: Submission #1239
Submission information
              Submission Number: 1239
  Submission ID: 20791
  Submission UUID: 16fb83c0-d6e8-4607-a782-b8a6458fcd58
      Submission URI: /urop-research-mentor-project-submission-portal
          Submission Update: /urop-research-mentor-project-submission-portal?token=L-d6DjofCxUTDYoQEIMU1cMmxLg41Yw5IeKbbmf8xEA
      Created: Mon, 08/18/2025 - 02:06 PM
  Completed: Mon, 08/18/2025 - 04:07 PM
  Changed: Fri, 10/31/2025 - 03:30 PM
  Remote IP address: 68.63.41.233
  Submitted by: Anonymous
  Language: English
  Is draft: No
    Webform: UROP Project Proposal Portal
      Submitted to: UROP Research Mentor Project Submission Portal
    
          Research Mentor Information
      
  
  
  Fengjiao Liu
  
  
  
  
      
  
  
  She/her
  
  
  
  
      
  
  
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  Faculty
  
  
  
  
      
  
  
  FAMU-FSU College of Engineering
  
  
  
  
      
  
  
  Electrical and Computer Engineering
  
  
  
  
      
  
  
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          Additional Research Mentor(s)
Overall Project Details
      
  
  
  Convergence Rate Analysis in Multi-Agent Systems
  
  
  
  
      
  
  
  multi-agent system, graph theory, reinforcement learning
  
  
  
  
      
  
  
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  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.
  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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UROP Program Elements
      
  
  
  Yes
  
  
  
  
      
  
  
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  2025
  
  
  
  
      
  
  
  https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=L-d6DjofCxUTDYoQEIMU1cMmxLg41Yw5IeKbbmf8xEA