Reference
A. Núñez and B. De Schutter, "Distributed identification of fuzzy
confidence intervals for traffic measurements,"
Proceedings of
the 51st IEEE Conference on Decision and Control, Maui, Hawaii, pp.
6995-7000, Dec. 2012.
Abstract
A distributed fuzzy confidence interval identification method for traffic
measurements is considered. Using historical data of the density measured on
different sections of the freeway, the idea is to find fuzzy confidence
intervals that define the bands that contain almost all the density
measurements. The purpose of the proposed approach is twofold. First, to obtain
a band as narrow as possible for each of the sections of the freeway. And
second, to have a high percentage of the data contained in the bands. The
method we propose in this paper is completely distributed, and can be used not
only to describe any uncertain nonlinear distributed parameter system but also
as a key element in a robust controller.
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BibTeX
@inproceedings{NunDeS:12-039,
author = {N{\'{u}}{\~{n}}ez, Alfredo and De Schutter, Bart},
title = {Distributed Identification of Fuzzy Confidence Intervals for
Traffic Measurements},
booktitle = {Proceedings of the 51st IEEE Conference on Decision and
Control},
address = {Maui, Hawaii},
pages = {6995--7000},
month = dec,
year = {2012}
}