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


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.
Number of pages6
ISBN (Electronic)9781509059928
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


Other2017 American Control Conference, ACC 2017
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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