Distributed Secure Consensus Control With Event-Triggering for Multiagent Systems Under DoS Attacks | JoVE Visualize

Area of Science:

Control Systems Engineering
Networked Systems Security
Cyber-Physical Systems

Background:

Multiagent systems (MASs) are crucial in networked environments, necessitating robust security against cyberattacks like denial-of-service (DoS).
Existing consensus control methods for MASs lack precise control input calculations during DoS attack periods.
Event-triggered control strategies have been explored but require enhancement for secure operation under adversarial conditions.

Purpose of the Study:

To develop a distributed secure consensus control strategy for linear leader-following MASs specifically designed to withstand DoS attacks.
To address the challenge of imprecise control input during DoS attacks by introducing an event-triggered mechanism with state estimation.
To establish sufficient conditions for the duration and frequency of DoS attacks and ensure the exclusion of Zeno behavior.

Main Methods:

A dual-terminal event-triggered mechanism is implemented, utilizing two triggered functions for information scheduling on measurement and control channels.
State estimations from an observer are employed to replace combined states within triggered functions, mitigating DoS attack impacts.
A self-triggered secure control scheme is developed, integrating system states and past triggered information to eliminate continuous measurement error monitoring.

Main Results:

Sufficient conditions are theoretically established to guarantee system stability and performance under defined DoS attack parameters (duration and frequency).
The proposed control scheme enables followers in MASs to effectively track the leader's trajectory even when subjected to DoS attacks.
The developed methods successfully exclude Zeno behavior, ensuring practical implementation of the event-triggered system.

Conclusions:

The proposed distributed secure consensus control with event triggering provides an effective solution for MASs operating under DoS attacks.
The dual-terminal and self-triggered mechanisms enhance system resilience and reduce communication/computation burdens.
Case studies validate the effectiveness of the developed control strategy in maintaining consensus and leader-following performance under cyber threats.