Finite-time trajectory tracking of air cushion vehicles under dynamic event-triggered control and unknown disturbances

Key Points

• Effective trajectory tracking reduces errors significantly in the presence of disturbances and control events.
• Key evidence includes successful tracking times that meet desired performance criteria under unknown disturbances.
• Observational analysis emphasizes dynamic control mechanisms to enhance tracking performance amid event triggers.
• Implications support further advancements in automation for air cushion vehicle technology; similar methods may be broadly applicable.