Reference
Z. Hidayat, Zs. Lendek, R. Babuška, and B. De Schutter, "Fuzzy observer
for state estimation of the METANET traffic model,"
Proceedings of the 13th International IEEE Conference on Intelligent
Transportation Systems (ITSC 2010), Madeira Island, Portugal, pp. 19-24,
Sept. 2010.
Abstract
Traffic control has proven an effective measure to reduce traffic congestion on
freeways. In order to determine appropriate control actions, it is necessary to
have information on the current state of the traffic. However, not all traffic
states can be measured (such as the traffic density) and so state estimation
must be applied in order to obtain state information from the available
measurements. Linear state estimation methods are not directly applicable, as
traffic models are in general nonlinear. In this paper we propose a nonlinear
approach to state estimation that is based on a Takagi-Sugeno (TS) fuzzy model
representation of the METANET traffic model. By representing the METANET
traffic model as a TS fuzzy system, a structured observer design procedure can
be applied, whereby the convergence of the observer is guaranteed. Simulation
results are presented to illustrate the quality of the estimate.
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BibTeX
@inproceedings{HidLen:10-046,
author = {Hidayat, Zul and Lendek, {\relax Zs}{\'{o}}fia and
Babu{\v{s}}ka, Robert and De Schutter, Bart},
title = {Fuzzy Observer for State Estimation of the {METANET} Traffic
Model},
booktitle = {Proceedings of the 13th International IEEE Conference on
Intelligent Transportation Systems (ITSC 2010)},
address = {Madeira Island, Portugal},
pages = {19--24},
month = sep,
year = {2010}
}