Impulsive Control of Second-Order Intelligent Vehicle Longitudinal Platooning Under the Event-Triggered Mechanism

Abstract

With the development of impulsive control methods, the application of impulsive control in intelligent vehicle platooning systems has attracted significant research interest. However, current research on impulsive control in platooning systems mostly remains at the level of first-order dynamic models, which cannot satisfy the requirements of intelligent vehicle platooning systems. To address these challenges, this study thoroughly investigated the problem of intelligent vehicle platoon formation using a distributed event-triggered impulsive control method. The vehicles were modeled as a second-order dynamic system, and the control logic for each intelligent vehicle was updated only when the state error exceeded the predefined allowable range. The control inputs were executed by the actuator only at event-triggered instants. By combining Lyapunov stability theory with the impulsive control method, a series of sufficient conditions for ensuring leader-following consensus were successfully derived. In addition, our approach effectively avoids the occurrence of Zeno behavior. The effectiveness of the control scheme has been validated using several simulation examples. This study provides new ideas and methods for the development of intelligent vehicle platooning control and provides technical support and guidance for the construction and application of future intelligent transportation systems.