Event/Self-Triggered Control for Leader-Following Consensus Over Unreliable Network With DoS Attacks.

Area of Science:

• Control Systems Engineering
• Network Security
• Distributed Systems

Background:

• Leader-following consensus is crucial for multi-agent systems.
• Unreliable networks and denial-of-service (DoS) attacks disrupt consensus.
• Existing schemes may not be robust to malicious network conditions.

Purpose of the Study:

• To develop event-triggered and self-triggered communication schemes for leader-following consensus.
• To ensure robust control protocol updates under DoS attacks.
• To reduce communication costs associated with event detection.

Main Methods:

• Characterization of network communication and control protocol updates during DoS attacks.
• Proposal of an event-triggered communication scheme for scheduling information transmission.
• Construction of synchronous and asynchronous control protocol update strategies.
• Development of a self-triggered scheme to determine future triggering instants.

Main Results:

• The proposed event-triggered scheme effectively schedules information transmission under malicious attacks.
• Synchronous and asynchronous update strategies achieve leader-following consensus despite DoS attacks.
• The self-triggered scheme reduces the cost of event detection.
• Numerical examples validate the effectiveness of the proposed schemes.

Conclusions:

• The developed event/self-triggered schemes enhance leader-following consensus in unreliable networks.
• The strategies are effective in mitigating the impact of DoS attacks.
• The research contributes to robust control in adversarial network environments.