Relative Affine Localization for Robust Distributed Formation Control

Z. Li, R.T. Rajan

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Multiagent systems have been widely researched and deployed in the industry for their potential to collectively achieve goals by distributing tasks to individual agents [1]–[4]. Formation control, one of the many applications of multiagent systems, aims at steering agents into a stable geometric pattern in space [3], [4]. There has been a variety of crafted distributed controllers in literature based on different dynamics that agents follow, and different variables that agents sense and control [5]. Affine formation control is brought to the spotlight where N agents in RD converge to the target formation up to an affine transformation [6]. A more general scenario of affine formation control is the dynamic formation maneuvering problem where the target configuration is time-varying and the agents need to not only converge to the desired formation but also track the maneuvering pattern. This problem is addressed in [7] where a series of controller designs are introduced depending on the dynamics of the agents...
Original languageEnglish
Title of host publication42nd WIC Symposium on Information Theory and Signal Processing in the Benelux (SITB 2022)
EditorsJérôme Louveaux, François Quitin
Pages64-65
Number of pages1
Publication statusPublished - 2022
Event42nd WIC Symposium on Information Theory and Signal Processing in the Benelux - Louvain la Neuve, Belgium
Duration: 1 Jun 20222 Jun 2022
Conference number: 42

Conference

Conference42nd WIC Symposium on Information Theory and Signal Processing in the Benelux
Abbreviated titleSITB 2022
Country/TerritoryBelgium
CityLouvain la Neuve
Period1/06/222/06/22

Keywords

  • tensors
  • tensor-train
  • Kalman filter
  • SVM
  • seizure
  • epilepsy
  • detection

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