@inproceedings{90c3a35e2c0c4d16afea8e3c5c0fe7f8,
title = "Optimal discovery of ambient acoustic noise field",
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.",
author = "Bogdan, \{Caitlin C.\} and Wixom, \{Andrew S.\} and McDaniel, \{J. Gregory\} and Andersson, \{Sean B.\}",
note = "Publisher Copyright: {\textcopyright} 2017 American Automatic Control Council (AACC).; 2017 American Control Conference, ACC 2017 ; Conference date: 24-05-2017 Through 26-05-2017",
year = "2017",
month = jun,
day = "29",
doi = "10.23919/ACC.2017.7963461",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3329--3334",
booktitle = "2017 American Control Conference, ACC 2017",
address = "United States",
}