Neural prescribed formation-containment control for air-breathing hypersonic vehicles with input saturation and actuator faults

This study proposes a neural prescribed formation-containment control for air-breathing hypersonic vehicles (AHVs) with input saturation and actuator faults. The proposed method employs key functions to achieve flexible prescribed performance for an AHV swarm system by adjusting of a time-varying scaling function. To avoid the inherited fragility problem of prescribed formation-containment control, an auxiliary system is constructed to adjust performance boundaries under input saturation and external disturbances. Additionally, neural networks are integrated into the design of a distributed extended state observer, which manages unavailable flight states, unpredictable faults, and lumped disturbances. Numerical simulations demonstrate the effectiveness and superiority of the proposed AHV formation-containment control strategy.