TY - GEN
T1 - Fuzzy observer for state estimation of the METANET traffic model
AU - Hidayat, Z.
AU - Lendek, Zs
AU - Babuška, R.
AU - De Schutter, B.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78650457276&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2010.5625223
DO - 10.1109/ITSC.2010.5625223
M3 - Conference contribution
AN - SCOPUS:78650457276
SN - 9781424476572
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 19
EP - 24
BT - 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010
T2 - 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010
Y2 - 19 September 2010 through 22 September 2010
ER -
