Presentation Title

Formation Control in Distributed System

Presenter Information

Rui YangFollow

Advisor Information

Azad Azadmanesh

Location

UNO Criss Library, Room 232

Presentation Type

Oral Presentation

Start Date

2-3-2018 9:45 AM

End Date

2-3-2018 10:00 AM

Abstract

Recent advances in multi-agent systems (MAS) have enabled the deployment of large inexpensive agents in a broad spectrum of applications. Formation control has been one prominent area of research in MASs, in which the agents are controlled to form geometric patterns. This project investigates the existing approaches to formation control and utilizes their properties to address the problem of circle formation. By exploiting the circle formation as a base to organize the agents, other symmetrical shapes can be formed as well. This project offers a new distributed algorithm to the circle formation that is robust against agent collisions, race conditions and is deadlock free. For better insight and understanding the pitfalls of the circle formation problem, the approach is step-wise that transitions through multiple phases. The final algorithm is simulated and presented through animation.

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Mar 2nd, 9:45 AM Mar 2nd, 10:00 AM

Formation Control in Distributed System

UNO Criss Library, Room 232

Recent advances in multi-agent systems (MAS) have enabled the deployment of large inexpensive agents in a broad spectrum of applications. Formation control has been one prominent area of research in MASs, in which the agents are controlled to form geometric patterns. This project investigates the existing approaches to formation control and utilizes their properties to address the problem of circle formation. By exploiting the circle formation as a base to organize the agents, other symmetrical shapes can be formed as well. This project offers a new distributed algorithm to the circle formation that is robust against agent collisions, race conditions and is deadlock free. For better insight and understanding the pitfalls of the circle formation problem, the approach is step-wise that transitions through multiple phases. The final algorithm is simulated and presented through animation.