Reference
S. Liu,
J. R. D. Frejo, A.
Núñez, B. De Schutter, A. Sadowska, H. Hellendoorn, and
E. F. Camacho, "Tractable robust predictive
control approaches for freeway networks,"
Proceedings of the
17th International IEEE Conference on Intelligent Transportation Systems (ITSC
2014), Qingdao, China, pp. 1857-1862, Oct. 2014.
Abstract
Robust control aims to maintain predefined performance specifications for a
wide range of uncertainties. In this paper, we consider the robust control
problem for freeway networks, including the uncertainties explicitly in the
control design step. We use min-max scheme for handling the uncertainties
occurring in freeway networks. In order to reduce the computational complexity
of min-max scheme, we propose scenario-based min-max Model Predictive Control
(MPC) and scenario-based Receding-Horizon Parametrized Control (RHPC) in this
paper, which solve the complete robust problem approximately. In addition, a
new objective function is proposed to ensure the satisfaction of queue length
constraints. A case study is implemented to assess the effectiveness of the
proposed approaches. The results show that nominal MPC and nominal RHPC may
result in a better performance than scenario-based min-max MPC and
scenario-based min-max RHPC. However, nominal MPC and nominal RHPC cannot
ensure the satisfaction of the queue length constraint. By applying
scenario-based min-max MPC and scenario-based min-max RHPC, the queue length
constraint is satisfied conservatively at the cost of an increase in the
performance index.
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BibTeX
@inproceedings{LiuFre:14-035,
author = {Liu, Shuai and Frejo, Jos{\'{e}} Ram{\'{o}}n D. and
N{\'{u}}{\~{n}}ez, Alfredo and De Schutter, Bart and Sadowska,
Anna and Hellendoorn, Hans and Camacho, Eduardo F.},
title = {Tractable Robust Predictive Control Approaches for Freeway
Networks},
booktitle = {Proceedings of the 17th International IEEE Conference on
Intelligent Transportation Systems (ITSC 2014)},
address = {Qingdao, China},
pages = {1857--1862},
month = oct,
year = {2014}
}