Tractable robust predictive control approaches for freeway networks


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 entry:

@inproceedings{LiuFre:14-035,
author={S. Liu and J.R.D. Frejo and A. N{\'{u}}{\~{n}}ez and B. {D}e Schutter and A. Sadowska and H. Hellendoorn and E.F. Camacho},
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},
doi={10.1109/ITSC.2014.6957963}
}


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