Predefined-time multiparty synchronization of multiple quadrotor unmanned aerial vehicles under malicious attacks via...

Area of Science:

• Robotics and Control Systems
• Aerospace Engineering
• Cybersecurity

Background:

• Multiparty synchronization (MS) is crucial for coordinated multi-agent systems like quadrotor unmanned aerial vehicles (QUAVs).
• Conventional control methods face challenges with complexity and are vulnerable to malicious attacks.
• Existing event-triggered mechanisms may not effectively handle complex dynamics or guarantee performance.

Purpose of the Study:

• To develop a dynamic event-triggered predefined-time multiparty synchronization (DEPTMS) control strategy for multiple QUAVs.
• To address malicious attacks and mitigate the complexity issues in backstepping control.
• To ensure stability and rapid convergence of synchronization errors within a predefined time.

Main Methods:

• Utilized command filtering and error compensation to manage complexity and filtering errors.
• Designed a dynamic event-triggered mechanism with internal dynamics to reduce communication and avoid Zeno behavior.
• Incorporated adaptive parameters for estimating unknown malicious attack bounds.

Main Results:

• Achieved predefined-time stability for the multiple QUAVs system.
• Demonstrated convergence of multiparty synchronization errors to a small neighborhood near the origin within a predefined time.
• Validated the proposed control method's effectiveness and superiority through numerical and real-time simulations.

Conclusions:

• The proposed DEPTMS control strategy is effective for networked QUAV systems facing malicious attacks.
• The method enhances system stability and synchronization performance while optimizing communication load.
• This research offers a robust solution for secure and efficient coordinated control of multiple aerial vehicles.