Optimal discovery of ambient acoustic noise field

Caitlin C. Bogdan, Andrew S. Wixom, J. Gregory McDaniel, Sean B. Andersson

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

1 Scopus citations

Abstract

We describe a problem in which a multi-agent acoustic sensing swarm seeks to characterize the ambient acoustic noise field as an input for selecting subsequent sensing locations. We develop a method for solving this problem by applying the Pontryagin Maximum Principle to determine an optimal control law and demonstrate this application on a single agent system. An algorithm is developed for solving the resulting mixed boundary value differential equations in real time by an eigenvalue decomposition method. This technique is demonstrated on a representative ambient acoustic noise field via simulation.

Original languageEnglish (US)
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3329-3334
Number of pages6
ISBN (Electronic)9781509059928
DOIs
StatePublished - Jun 29 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: May 24 2017May 26 2017

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2017 American Control Conference, ACC 2017
CountryUnited States
CitySeattle
Period5/24/175/26/17

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Bogdan, C. C., Wixom, A. S., McDaniel, J. G., & Andersson, S. B. (2017). Optimal discovery of ambient acoustic noise field. In 2017 American Control Conference, ACC 2017 (pp. 3329-3334). [7963461] (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC.2017.7963461