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.
Lu et al. (Fri,) studied this question.