Environmental estimation with distributed finite element agents

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We develop an environmental estimation method that allows large groups of agents to infer the value of an environmental field using measurements. Agents maintain estimates for subregions of the domain and communicate with local neighbors, so the method's communication and memory requirements do not increase with the number of agents, the size of the environment representation, or the agents' density in the environment. Despite the distributed representation, the union of individual estimates matches an estimate generated by a central computer with access to all measurements employing the variational inverse method, a finite element-based interpolation procedure. We also introduce a distributed query system, allowing users to determine an estimate anywhere in the domain without accessing all measurements or the full environment representation.

Original languageEnglish (US)
Title of host publication2016 IEEE 55th Conference on Decision and Control, CDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5918-5924
Number of pages7
ISBN (Electronic)9781509018376
DOIs
StatePublished - Dec 27 2016
Event55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States
Duration: Dec 12 2016Dec 14 2016

Publication series

Name2016 IEEE 55th Conference on Decision and Control, CDC 2016

Other

Other55th IEEE Conference on Decision and Control, CDC 2016
CountryUnited States
CityLas Vegas
Period12/12/1612/14/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Control and Optimization

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    Elwin, M., Freeman, R. A., & Lynch, K. M. (2016). Environmental estimation with distributed finite element agents. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016 (pp. 5918-5924). [7799180] (2016 IEEE 55th Conference on Decision and Control, CDC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2016.7799180