Adaptive finite/fixed-Time synchronization of uncertain networks under actuator faults and its application on robotic manipulators

Key Points

• Synchronization is achieved in uncertain networks despite actuator faults, enhancing reliability.
• Key evidence shows significant stability improvements, particularly for robotic manipulators in active environments.
• Approach involves adaptive control algorithms for finite-time synchronization, optimizing performance under uncertainties.
• May enable advanced applications in robotics by improving responses to unexpected actuator failures.