Robust receding horizon parameterized control for multi-class freeway networks: A tractable scenario-based approach
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Publication:2798403
DOI10.1002/rnc.3500zbMath1333.93092OpenAlexW2324633439WikidataQ107154801 ScholiaQ107154801MaRDI QIDQ2798403
Anna D. Sadowska, José Ramón D. Frejo, Alfredo A. Núñez, Hans Hellendoorn, Bart De Schutter, Shuai Liu, Eduardo Fernández Camacho
Publication date: 12 April 2016
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.3500
uncertaintiesmulti-class trafficmin-max schemereceding horizon parameterized controlscenario-based control
Sensitivity (robustness) (93B35) Communication networks in operations research (90B18) Discrete-time control/observation systems (93C55)
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Cites Work
- A robust transportation signal control problem accounting for traffic dynamics
- Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: Stability and moving-horizon approximations
- Discrete-time stability with perturbations: Application to model predictive control
- The scenario approach for stochastic model predictive control with bounds on closed-loop constraint violations
- Receding horizon control of nonlinear systems
- Stabilizing receding-horizon control of nonlinear time-varying systems
- On the stability of receding horizon control with a general terminal cost
- Robust Model Predictive Control via Scenario Optimization
- On the Partial Difference Equations of Mathematical Physics
- On kinematic waves II. A theory of traffic flow on long crowded roads