Distributed Receding Horizon Control of Vehicle Platoons: Stability and String Stability
By William B. Dunbar, Derek Caveney. IEEE Transactions on Automatic Control, 2012
443 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/912943143d9e5666d08aeb13ac6a277ed8db2412
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In Control and Systems Engineering
- Shengbo Eben Li
- Keqiang Li
- Yeojun Kim
- Jacopo Guanetti
- Yang Zheng
- Francesco Borrelli
- Nathan van de Wouw
- H. Nijmeijer
Citations in the corpus
- Energy saving potentials of connected and automated vehicles (2018, background): “The common goal for instance could be reducing the fuel consumption of the entire fleet [105], [153], [83], string stability [154], or collision mitigation [155].”
- Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities (2017, background): “Some studies directly use nonlinear models for platoon control (see [19], [21], [27], [34], [45]).”
- Internet of vehicles in big data era (2018, unknown): “, of adjacent vehicles [86].”
- Controller Synthesis for String Stability of Vehicle Platoons (2014, methodology): “As a relevant example, [8] proposes a controller employing a one-vehicle look-ahead communication topology, with the attenuation of the L∞ norm of the disturbance responses as a constraint.”
- Cooperative Adaptive Cruise Control in Real Traffic Situations (2014, background): “Several papers have dealt with string stability analysis and simulations [20], [21], [22],”
- Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies (2016, background): “Several other recent research on string stability can be found in [23] and [24].”
- Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies (2016, methodology): “Remark 13: Many previous studies on the platoon control using the DMPC techniques are only suitable for some special topologies, for example [14] and [34].”
- Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, background): “MPC can incorporate nonlinear dynamics, input and state constraints, and forecasts [153, 144, 154, 145].”