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Formation Shape Control Based on Distance Measurements Using Lie Bracket Approximations

Suttner, Raik and Sun, Zhiyong LU (2018) In SIAM Journal on Control and Optimization 56(6). p.4405-4433
Abstract
We study the problem of distance-based formation control in autonomous multi-agent systems in which only distance measurements are available. This means that the target formations as well as the sensed variables are both determined by distances. We propose a fully distributed distance-only control law, which requires neither a time synchronization of the agents nor storage of measured data. The approach is applicable to point agents in the Euclidean space of arbitrary dimension. Under the assumption of infinitesimal rigidity of the target formations, we show that the proposed control law induces local uniform asymptotic stability. Our approach involves sinusoidal perturbations in order to extract information about the negative gradient... (More)
We study the problem of distance-based formation control in autonomous multi-agent systems in which only distance measurements are available. This means that the target formations as well as the sensed variables are both determined by distances. We propose a fully distributed distance-only control law, which requires neither a time synchronization of the agents nor storage of measured data. The approach is applicable to point agents in the Euclidean space of arbitrary dimension. Under the assumption of infinitesimal rigidity of the target formations, we show that the proposed control law induces local uniform asymptotic stability. Our approach involves sinusoidal perturbations in order to extract information about the negative gradient direction of each agent's local potential function. An averaging analysis reveals that the gradient information originates from an approximation of Lie brackets of certain vector fields. The method is based on a recently introduced approach to the problem of extremum seeking control. We discuss the relation in the paper. (Less)
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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
SIAM Journal on Control and Optimization
volume
56
issue
6
pages
29 pages
publisher
Society for Industrial and Applied Mathematics
external identifiers
  • scopus:85060063102
ISSN
1095-7138
DOI
10.1137/18M117131X
language
English
LU publication?
yes
id
d75ed1eb-122e-4185-bcad-b855f7e03684
date added to LUP
2018-10-12 16:10:37
date last changed
2022-03-09 21:26:36
@article{d75ed1eb-122e-4185-bcad-b855f7e03684,
  abstract     = {{We study the problem of distance-based formation control in autonomous multi-agent systems in which only distance measurements are available. This means that the target formations as well as the sensed variables are both determined by distances. We propose a fully distributed distance-only control law, which requires neither a time synchronization of the agents nor storage of measured data. The approach is applicable to point agents in the Euclidean space of arbitrary dimension. Under the assumption of infinitesimal rigidity of the target formations, we show that the proposed control law induces local uniform asymptotic stability. Our approach involves sinusoidal perturbations in order to extract information about the negative gradient direction of each agent's local potential function. An averaging analysis reveals that the gradient information originates from an approximation of Lie brackets of certain vector fields. The method is based on a recently introduced approach to the problem of extremum seeking control. We discuss the relation in the paper.}},
  author       = {{Suttner, Raik and Sun, Zhiyong}},
  issn         = {{1095-7138}},
  language     = {{eng}},
  month        = {{12}},
  number       = {{6}},
  pages        = {{4405--4433}},
  publisher    = {{Society for Industrial and Applied Mathematics}},
  series       = {{SIAM Journal on Control and Optimization}},
  title        = {{Formation Shape Control Based on Distance Measurements Using Lie Bracket Approximations}},
  url          = {{https://lup.lub.lu.se/search/files/52919794/201808_Revisions_SICON_M117131_R2_distance_based_formation.pdf}},
  doi          = {{10.1137/18M117131X}},
  volume       = {{56}},
  year         = {{2018}},
}