Attack-resilient event-triggered formation control of multi-agent systems under periodic DoS attacks using complex...

Area of Science:

• Control Engineering
• Network Security
• Robotics

Background:

• Multi-agent systems (MASs) are vulnerable to periodic Denial-of-Service (DoS) attacks, compromising their formation control capabilities.
• Existing control mechanisms may not adequately address the stochastic nature of DoS attacks or optimize resource utilization.
• Ensuring system stability and preventing Zeno behavior are critical challenges in event-triggered control for MASs.

Purpose of the Study:

• To develop an attack-resilient event-triggered mechanism for MASs under periodic DoS attacks.
• To effectively model DoS attacks using a Bernoulli distribution within a stochastic system framework.
• To analyze and guarantee the stability of the MAS under the proposed control strategy.

Main Methods:

• Modeling periodic DoS attacks as a Bernoulli distribution, treating the plant as a stochastic system.
• Proposing a novel Attack-Resilient Event-Triggered Mechanism (ARETM) to manage formation control.
• Employing a generalized Nyquist stability criterion and a homotopy Newton iterative algorithm for stability analysis.

Main Results:

• The proposed ARETM effectively restrains periodic DoS attacks.
• Significant savings in network resources are achieved through the event-triggered approach.
• Zeno behavior is naturally excluded, ensuring practical implementation.
• The stability of the multi-agent system is rigorously analyzed and confirmed.

Conclusions:

• The developed ARETM provides an effective solution for attack-resilient formation control in MASs facing DoS attacks.
• The method offers a balance between robust control, network efficiency, and theoretical guarantees.
• Numerical simulations validate the effectiveness and practical applicability of the proposed approach.