This work discusses how a large set of longitudinal vehicular platooning protocols proposed in the literature can be augmented, in the framework of immersion and invariance (I&I), with adaptation and partial-state feedback capabilities. The need for adaptation stems from uncertainty and heterogeneity of the vehicle driveline time constants; the need for partial-state feedback stems from tradeoffs in the intervehicle sensing technology. The presented I&I designs yield disturbance decoupling, a system-theoretic property guaranteeing string stability and collision avoidance specifications, crucial in platooning. The proposed protocols are discussed analytically and validated using different traffic scenarios in the Simulation of Urban MObility-Veins (SUMO-Veins) platform for vehicular networks and using data from a traffic smoothing field experiment.

Liu, D., Baldi, S., Yang, K., Astolfi, A. (2025). Equipping Vehicular Platoons With Partial-State Immersion and Invariance Adaptation. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 33(6), 2378-2392 [10.1109/TCST.2025.3587878].

Equipping Vehicular Platoons With Partial-State Immersion and Invariance Adaptation

Astolfi, Alessandro
2025-01-01

Abstract

This work discusses how a large set of longitudinal vehicular platooning protocols proposed in the literature can be augmented, in the framework of immersion and invariance (I&I), with adaptation and partial-state feedback capabilities. The need for adaptation stems from uncertainty and heterogeneity of the vehicle driveline time constants; the need for partial-state feedback stems from tradeoffs in the intervehicle sensing technology. The presented I&I designs yield disturbance decoupling, a system-theoretic property guaranteeing string stability and collision avoidance specifications, crucial in platooning. The proposed protocols are discussed analytically and validated using different traffic scenarios in the Simulation of Urban MObility-Veins (SUMO-Veins) platform for vehicular networks and using data from a traffic smoothing field experiment.
2025
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-INF/04
Settore IINF-04/A - Automatica
English
Adaptive control
Connected vehicles
Immersion and invariance (I&I)
Noncertainty equivalence control
Platooning
Liu, D., Baldi, S., Yang, K., Astolfi, A. (2025). Equipping Vehicular Platoons With Partial-State Immersion and Invariance Adaptation. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 33(6), 2378-2392 [10.1109/TCST.2025.3587878].
Liu, D; Baldi, S; Yang, K; Astolfi, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/454533
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