Robust Receding Horizon Parameterized Control for Multi-Class Freeway Networks: A Tractable Scenario-Based Approach

Reference

S. Liu, A. Sadowska, J. R. D. Frejo, A. Núñez, E. F. Camacho, H. Hellendoorn, and B. De Schutter, "Robust receding horizon parameterized control for multi-class freeway networks: A tractable scenario-based approach," International Journal of Robust and Nonlinear Control, vol. 26, no. 6, pp. 1211-1245, Apr. 2016.

Abstract

In this paper, we propose a tractable scenario-based Receding Horizon Parameterized Control (RHPC) approach for freeway networks. In this approach, a scenario-based min-max scheme is used to handle uncertainties. This scheme optimizes the worst case among a limited number of scenarios that are considered. The use of parameterized control laws allows us to reduce the computational burden of the robust control problem based on the multi-class METANET model w.r.t. conventional model predictive control. To assess the performance of the proposed approach, a simulation experiment is implemented, in which scenario-based RHPC is compared with nominal RHPC, standard control ignoring uncertainties, and standard control including uncertainties. Here, the standard control approaches refer to state feedback controllers (such as PI-ALINEA for ramp metering). A queue override scheme is included for extra comparison. The results show that nominal RHPC approaches and standard control ignoring uncertainties may lead to high queue length constraint violations, and including a queue override scheme in standard control may not reduce queue length constraint violations to a low level. Including uncertainties in standard control approaches can obviously reduce queue length constraint violations, but the performance improvements are minor. For the given case study, scenario-based RHPC performs best as it is capable of improving control performance without high queue length constraint violations.

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BibTeX

@article{LiuSad:15-045,
   author  = {Liu, Shuai and Sadowska, Anna and Frejo, Jos{\'{e}} Ram{\'{o}}n
              D. and N{\'{u}}{\~{n}}ez, Alfredo and Camacho, Eduardo F. and
              Hellendoorn, Hans and De Schutter, Bart},
   title   = {Robust Receding Horizon Parameterized Control for Multi-Class
              Freeway Networks: {A} Tractable Scenario-Based Approach},
   journal = {International Journal of Robust and Nonlinear Control},
   volume  = {26},
   number  = {6},
   pages   = {1211--1245},
   month   = apr,
   year    = {2016}
   }


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