@inproceedings{d9d03f9537324b55819455140e323f43,
title = "Multi-dimensional feedback particle filter for coupled oscillators",
abstract = "This paper presents a methodology for state estimation of coupled oscillators from noisy observations. The methodology is comprised of two parts: modeling and estimation. The objective of the modeling is to express dynamics in terms of the so-called phase variables. For nonlinear estimation, a coupled-oscillator feedback particle filter is introduced. The filter is based on the construction of a large population of oscillators with mean-field coupling. The empirical distribution of the population encodes the posterior distribution of the phase variables. The methodology is illustrated with two numerical examples.",
author = "Tilton, {Adam K.} and Mehta, {Prashant G.} and Meyn, {Sean P.}",
year = "2013",
doi = "10.1109/acc.2013.6580196",
language = "English (US)",
isbn = "9781479901777",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2415--2421",
booktitle = "2013 American Control Conference, ACC 2013",
address = "United States",
note = "2013 1st American Control Conference, ACC 2013 ; Conference date: 17-06-2013 Through 19-06-2013",
}