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Related Experiment Video

Updated: Jul 6, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks.

Lihua Tan1, Xin Wang2

  • 1School of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing, 400074, PR China.

Neural Networks : the Official Journal of the International Neural Network Society
|January 4, 2024
PubMed
Summary

This study introduces an adaptive resilient controller for multiagent systems, addressing both denial-of-service (DoS) and deception cyber-attacks. The novel event-triggered approach ensures system consensus despite hybrid attacks and conserves network resources.

Keywords:
Deception attacksDoS attacksEvent-triggering mechanismMulti-agent systems

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Area of Science:

  • Control Engineering
  • Cybersecurity
  • Networked Systems

Background:

  • Multiagent systems are vital in robotics, transportation, and aerospace.
  • Cyber-attacks like denial-of-service (DoS) and deception attacks degrade system performance.
  • Existing research often addresses these attacks in isolation.

Purpose of the Study:

  • To develop a novel adaptive resilient controller for multiagent systems.
  • To simultaneously address denial-of-service (DoS) and deception cyber-attacks.
  • To enhance system robustness and communication efficiency under hybrid attacks.

Main Methods:

  • A hybrid cyber-attacks model was developed to analyze system impact.
  • An adaptive event-triggered control strategy was designed.
  • Lyapunov functional approach was used to formulate control rules.

Main Results:

  • The proposed controller effectively achieves consensus in multiagent systems.
  • The adaptive event-triggered strategy reduces network load and communication burden.
  • System stability is maintained despite the presence of hybrid cyber-attacks.

Conclusions:

  • The developed adaptive resilient controller is effective against hybrid cyber-attacks.
  • The sampled-based adaptive event-triggered mechanism enhances system efficiency.
  • Simulation results validate the proposed method's feasibility for robust multiagent systems.