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.