Resilient Cooperative Guidance for Leader-Follower Flight Vehicles Against Maneuvering Target

In this paper, we explore the cooperative guidance problem of leader-follower flight vehicles against the maneuvering target in the presence of false-data injection attacks (FDIAs). All the leader-follower flight vehicles including seeker-less followers are required to arrive at the target with specified terminal time and pre-set blockade configuration. A prescribed-time convergent guidance law is given to make the leader reach the maneuvering target at appointed arrival time. Since the seeker-less followers cannot acquire the target information, a radius-variable spherical formation configuration is presented, and a resilient cooperative guidance method leveraging actor-critic neural network is proposed for the followers to form the blockade configuration and reach the target simultaneously. By exploiting both the current and historical data, an improved trust factor is presented to identify and discard the communication links contaminated by the false data. The simulation results indicate that the flight vehicles governed by the proposed approach can achieve the simultaneous arrival successfully when encountering the false data injection attacks.