Data-Driven Security Control for Vehicular Platooning Systems With Finite-Time Prescribed Performance

This article addresses a finite-time prescribed performance-based model-free adaptive control (MFAC) issue for vehicular platooning systems under aperiodic denial-of-service (DoS) attacks. By applying the dynamic linearization method, the nonlinear vehicular platooning systems are modified to an equivalent linear data model. Based on the inputs and outputs data, a new finite-time data-driven prescribed performance control algorithm with aperiodic DoS attacks is developed, which mainly includes the following perspectives: 1) a smooth shifting function is employed to circumvent the restriction of initial conditions that demand the initial values of tracking errors be within a preset area; 2) by introducing a finite-time performance function (FTPF) into cost functions, the constrained outputs are transformed into an equivalent unconstrained condition; 3) based on historical information of the systems, a compensation mechanism is designed to decrease the influence of incomplete data aroused by aperiodic DoS attacks. The proposed algorithm guarantees the prescribed performance control within a finite time under insecure circumstances. Eventually, the proposed protocol is verified by detailed simulations.