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The HoneyComb Paradigm for Research on Collective Human Behavior

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Dynamic event-triggered quantized secure output consensus of heterogeneous multi-agent systems under DoS attacks.

Furong Deng¹, Chengjie Xu¹, Zhi-Hong Guan²

¹School of Science, Hunan University of Technology, Zhuzhou 412008, China.

Chaos (Woodbury, N.Y.)

|September 30, 2024

Summary

This summary is machine-generated.

This study addresses secure output consensus in heterogeneous multi-agent systems (HMASs) facing denial-of-service (DoS) attacks. A novel adaptive control protocol ensures system security and consensus despite cyber threats.

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Area of Science:

Control Theory
Cyber-Physical Systems
Networked Systems

Background:

Heterogeneous multi-agent systems (HMASs) face challenges in achieving secure output consensus.
Denial-of-service (DoS) attacks pose significant threats to the stability and performance of HMASs.
Existing control strategies may not adequately address communication load and Zeno behavior under attacks.

Purpose of the Study:

To investigate and solve the secure output consensus problem for HMASs under DoS attacks.
To develop an adaptive control protocol that mitigates network load and eliminates Zeno behavior.
To guarantee the secure output consensus of HMASs despite the presence of DoS attacks.

Main Methods:

Design of an adaptive dynamic compensator using local measurement information for virtual exosystem signal tracking.
Development of a novel adaptive control protocol integrating dynamic event-triggered and quantized control strategies.
Establishment of sufficient conditions to guarantee secure output consensus and eliminate Zeno behavior.

Main Results:

The proposed adaptive dynamic compensator effectively tracks the virtual exosystem signal.
The novel adaptive control protocol reduces communication load and prevents Zeno behavior.
Sufficient conditions are derived to ensure secure output consensus under DoS attacks.

Conclusions:

The developed control scheme guarantees secure output consensus for HMASs under DoS attacks.
The proposed protocol is reliable and effective, as verified by simulation results.
This research contributes a robust solution for secure consensus in networked multi-agent systems.