Fuzzy observer for state estimation of the METANET traffic model

Z. Hidayat; Zs Lendek; R. Babuška; B. De Schutter

doi:10.1109/ITSC.2010.5625223

Fuzzy observer for state estimation of the METANET traffic model

Z. Hidayat^*
, Zs Lendek
, R. Babuška
, B. De Schutter

^*Corresponding author for this work

Delft University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

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.

Original language	English
Title of host publication	13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	19-24
Number of pages	6
ISBN (Print)	9781424476572
DOIs	https://doi.org/10.1109/ITSC.2010.5625223
Publication status	Published - 2010
Externally published	Yes
Event	13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010 - Funchal, Portugal Duration: 19 Sept 2010 → 22 Sept 2010

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)	2153-0009

Conference

Conference	13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010
Country/Territory	Portugal
City	Funchal
Period	19/09/10 → 22/09/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/ITSC.2010.5625223

Cite this

Hidayat, Z., Lendek, Z., Babuška, R., & De Schutter, B. (2010). Fuzzy observer for state estimation of the METANET traffic model. In 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010 (pp. 19-24). Article 5625223 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2010.5625223

@inproceedings{fdf8206ae4ad421982a3de9750a42891,

title = "Fuzzy observer for state estimation of the METANET traffic model",

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.",

author = "Z. Hidayat and Zs Lendek and R. Babu{\v s}ka and \{De Schutter\}, B.",

year = "2010",

doi = "10.1109/ITSC.2010.5625223",

language = "English",

isbn = "9781424476572",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "19--24",

booktitle = "13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010",

address = "United States",

note = "13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010 ; Conference date: 19-09-2010 Through 22-09-2010",

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Hidayat, Z, Lendek, Z, Babuška, R & De Schutter, B 2010, Fuzzy observer for state estimation of the METANET traffic model. in 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010., 5625223, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, Institute of Electrical and Electronics Engineers Inc., pp. 19-24, 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010, Funchal, Portugal, 19/09/10. https://doi.org/10.1109/ITSC.2010.5625223

Fuzzy observer for state estimation of the METANET traffic model. / Hidayat, Z.; Lendek, Zs; Babuška, R. et al.
13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010. Institute of Electrical and Electronics Engineers Inc., 2010. p. 19-24 5625223 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

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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.

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U2 - 10.1109/ITSC.2010.5625223

DO - 10.1109/ITSC.2010.5625223

M3 - Conference contribution

AN - SCOPUS:78650457276

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T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

SP - 19

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BT - 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010

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ER -

Hidayat Z, Lendek Z, Babuška R, De Schutter B. Fuzzy observer for state estimation of the METANET traffic model. In 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010. Institute of Electrical and Electronics Engineers Inc. 2010. p. 19-24. 5625223. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC.2010.5625223

Fuzzy observer for state estimation of the METANET traffic model

Abstract

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UN SDGs

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