Self-Triggered Predefined-Time Cooperative Control Against DoS Attacks for Multiagent Systems With Uncertain Powers.

Area of Science:

• Control Systems Engineering
• Networked Systems
• Cybersecurity

Background:

• Multiagent systems face challenges from uncertain parameters and external disturbances like denial-of-service (DoS) attacks.
• Existing control strategies often have limitations in handling complex power uncertainties and optimizing resource usage.

Purpose of the Study:

• To develop a predefined-time cooperative control strategy for multiagent systems with uncertain odd powers greater than one.
• To address the impact of DoS attacks on system states and performance.
• To improve resource efficiency using a self-triggered mechanism.

Main Methods:

• Design of a distributed observer using a first-order filter to estimate states under DoS attacks.
• Development of a novel distributed predefined-time control law via neural network approximation and a transform function.
• Implementation of a self-triggered mechanism based on the previous state to reduce resource consumption.

Main Results:

• The proposed control law ensures that synchronization errors converge to a user-defined range within a user-defined predefined time.
• The self-triggered mechanism significantly reduces resource wastage compared to event-triggered approaches.
• The control strategy effectively handles uncertain odd powers greater than one and mitigates DoS attack effects.

Conclusions:

• The developed distributed predefined-time control protocol offers enhanced performance and resource efficiency for multiagent systems.
• The method provides flexible control over synchronization time and error bounds, adaptable to specific application needs.
• Simulation results validate the theoretical design and effectiveness of the proposed control strategy.