Sampled-Data String Stability for a Platoon of heterogeneous Vehicles via a Mesoscopic Approach

This paper explores sampled-data techniques to achieve asymptotic string stability in a platoon of autonomous vehicles. This is done making use of both microscopic and macroscopic data that are, however, often available at distinct time instants. The proposed mesoscopic controller is demonstrated to operate effectively, regardless of the involved sampling periods. The theoretical findings are validated through simulations.