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

This paper introduces a fully distributed model-free adaptive control method, addressing the tracking problem for multiple-high-speed trains (MHSTs) featuring sensor resolution and utilizing round-robin protocol. Sensor resolution 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, firstly, the dynamic linearisation technique is used to obtain the data relation description of MHSTs. Secondly, to address the issue of data transmission pressure caused by limited network bandwidth in Train-to-Train (T2T) direct communication, the round-robin protocol can be adopted for effective alleviation. On this basis, a distributed model-free adaptive control strategy is proposed to achieve the bounded formation tracking of MHSTs with sensor resolution under the round-robin protocol. Finally, the effectiveness of the proposed control scheme is verified by simulation examples.