Fully Distributed Data-Driven Consensus Tracking for Multiple High-Speed Trains With Sensor Resolution Under Round-Robin Protocol

doi:10.1109/JIOT.2026.3659247

Fully Distributed Data-Driven Consensus Tracking for Multiple High-Speed Trains With Sensor Resolution Under Round-Robin Protocol

2026-01-29

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DOI：10.1109/JIOT.2026.3659247

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This article introduces a fully distributed model-free adaptive control (MFAC) method, addressing the tracking problem for multiple-high-speed trains (MHSTs) featuring sensor resolution (SR) and utilizing a round-robin protocol (RRP). SR is one of the basic characteristics of almost all sensors and an important indicator of sensor performance in practical applications, but it has not been given enough attention in the study of MHSTs. Since MHSTs have unknown dynamical properties, first, the dynamic linearization technique is used to obtain the data relation description of MHSTs. Second, to address the issue of data transmission pressure caused by limited network bandwidth in train-to-train (T2T) direct communication, the RRP can be adopted for effective alleviation. On this basis, a distributed MFAC strategy is proposed to achieve the bounded formation tracking of MHSTs with SR under the RRP. Finally, the effectiveness of the proposed control scheme is verified by simulation examples.

Keywords:

Consensus tracking

data-driven control

model-free adaptive control (MFAC)

multiple high-speed trains

round-robin protocol (RRP)

sensor resolution (SR)

Fully Distributed Data-Driven Consensus Tracking for Multiple High-Speed Trains With Sensor Resolution Under Round-Robin Protocol

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