On the stability of swarm consensus under noisy control

dc.contributor.author

Rogers, B

dc.contributor.author

Fricke, GK

dc.contributor.author

Garg, DP

dc.date.accessioned

2023-02-01T14:39:07Z

dc.date.available

2023-02-01T14:39:07Z

dc.date.issued

2011-12-01

dc.date.updated

2023-02-01T14:39:06Z

dc.description.abstract

Representation of a swarm of independent robotic agents under graph-theoretic constructs allows for more formal analysis of convergence properties. We consider the local and global convergence behavior of an N-member swarm of agents in a modified consensus problem wherein the connectivity of agents is governed by probabilistic functions. The addition of a random walk control ensures ε-stability of the swarm consensus. Simulation results are given to show the rate of convergence to consensus and planned experiments are described. Copyright © 2011 by ASME.

dc.identifier.uri

https://hdl.handle.net/10161/26518

dc.language

English

dc.publisher

ASMEDC

dc.relation.ispartof

ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011

dc.relation.isversionof

10.1115/DSCC2011-6061

dc.subject

Science & Technology

dc.subject

Technology

dc.subject

Automation & Control Systems

dc.subject

Engineering, Mechanical

dc.subject

Engineering

dc.subject

DEPENDENT DYNAMIC GRAPHS

dc.subject

MULTIAGENT SYSTEMS

dc.subject

CONTROLLABILITY

dc.subject

STABILIZATION

dc.subject

AGREEMENT

dc.title

On the stability of swarm consensus under noisy control

dc.type

Journal article

pubs.begin-page

291

pubs.end-page

298

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Surgery

pubs.organisational-group

Surgery, Surgical Sciences

pubs.publication-status

Published

pubs.volume

1

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