Data-Driven Distributed Vehicle Platoon Control for Heterogeneous Nonlinear Vehicle Systems
Yongsheng Ma, Wei‐Wei Che, Chao Deng, Zheng‐Guang Wu
Abstract
This article studies the data-driven distributed vehicle platoon control problem for heterogeneous nonlinear vehicle systems. The heterogeneous nonlinear vehicle systems are first transformed into the linear data model with the increment form. Then, a novel data-driven distributed cooperative controller is devised to accomplish the vehicle platoon control objective, where the stability analysis problem is converted into the feasibility problem with the help of the linear matrix inequality technique. The main advantage of the devised control algorithm is that it only utilizes the position and speed information of neighboring vehicles and does not require any pre-training process. Finally, simulation is given to demonstrate the devised control algorithm with comparisons.