Change search
ReferencesLink to record
Permanent link

Direct link
Distributed Positioning of Autonomous Mobile Sensors with Application to Coverage Control
Institute for Systems Theory and Automatic Control, University of Stuttgart.
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-9940-5929
2011 (English)In: Proc. American Control Conference (ACC), IEEE , 2011, 4822-4827 p.Conference paper (Refereed)
Abstract [en]

We consider problems in multi-agent systems where a network of mobile sensors needs to self-organize such that some global objective function is maximized. To deal with the agents' lack of global information we approach the problem in a game-theoretic framework where agents/players are only able to access local measurements of their own local utility functions whose parameters and detailed analytical forms may be unknown. We then propose a distributed and adaptive algorithm, where each agent applies a local extremum seeking feedback adopted to its specific motion dynamics, and prove its global practical stability, implying that the agents asymptotically reach a configuration that is arbitrary close to the globally optimal one. For the stability analysis we introduce a novel methodology based on a Lie bracket trajectory approximation and combine it with a potential game approach. We apply the proposed algorithm to the sensor coverage problem and solve it in a distributed way where the agents do not need any a priori knowledge about the distribution of the events to be detected and about the detection probabilities of the individual agents. The proposed scheme is illustrated through simulations.

Place, publisher, year, edition, pages
IEEE , 2011. 4822-4827 p.
Keyword [en]
multi-agent systems, global practical stability, Lie bracket, nonlinear systems, extremum seeking control, Nash equilibrium, potential games, coverage control
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:kth:diva-47692ScopusID: 2-s2.0-80053155591ISBN: 978-1-4577-0080-4OAI: diva2:456053
American Control Conference (ACC), San Francisco, CA, USA
TrenOp, Transport Research Environment with Novel PerspectivesICT - The Next Generation
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20111118Available from: 2011-11-18 Created: 2011-11-11 Last updated: 2012-02-07Bibliographically approved

Open Access in DiVA

fulltext(853 kB)149 downloads
File information
File name FULLTEXT01.pdfFile size 853 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

ScopusIEEE Xplore

Search in DiVA

By author/editor
Stankovic, Milos S.Johansson, Karl Henrik
By organisation
ACCESS Linnaeus CentreAutomatic Control
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 149 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 63 hits
ReferencesLink to record
Permanent link

Direct link