Adaptive Event-Triggered Vehicle Platoon Control Under Partial Channel Constraints

This paper addresses cooperative control and communication optimization for vehicle platoons with random channel loss between the leader and following vehicles. To reduce the communication burden of the system, a distributed control strategy based on an adaptive eventtriggered mechanism is proposed. Under a Leader-Predecessor-Following (LPF) communication topology, the random channel loss is modeled as a Markov process, which captures the practical scenario where only a subset of leader-to-follower communication links are available at any given time. A hyperbolic secant function is employed to dynamically adjust the event-triggered threshold. This strategy only triggers information transmission at necessary times, significantly reducing the frequency of data exchange. Subsequently, the vehicle platoon system is formulated as a Markovian switching system with platoon errors serving as state variables. Based on Lyapunov stability theory, sufficient conditions for mean-square asymptotic stability are derived, and a design method for the distributed controller is presented. Finally, the effectiveness of the proposed method under channel-constrained scenarios is validated through simulations.