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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
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Updated: Sep 8, 2025

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General event-triggered dynamic output feedback control for complex networks subject to cyber attacks.

Lin Zhou1, Yuechao Ma1

  • 1School of Science, Yanshan University, Qinhuangdao Hebei, 066004, PR China.

ISA Transactions
|September 5, 2025
PubMed
Summary

This study introduces an adaptive event-triggered mechanism for Markovian jump complex dynamical networks facing cyberattacks. The new control strategy ensures finite-time synchronization, enhancing network security and performance.

Keywords:
General adaptive event-triggered mechanismMarkovian jump complex dynamical networksMemory dynamic output feedback controlMultiple cyberattacks

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Area of Science:

  • Control Systems Engineering
  • Network Security
  • Dynamical Systems Theory

Background:

  • Complex dynamical networks are vulnerable to cyberattacks, impacting system stability.
  • Event-triggered control strategies aim to reduce communication load.
  • Markovian jump systems introduce stochasticity and mode-dependent dynamics.

Purpose of the Study:

  • To develop an adaptive event-triggered dynamic output feedback control for Markovian jump complex dynamical networks (MJCNDs) under cyberattacks.
  • To propose a novel adaptive event-triggered mechanism (AETM) with enhanced flexibility.
  • To achieve finite-time synchronization for the closed-loop system.

Main Methods:

  • A new adaptive event-triggered mechanism (AETM) with dynamic parameter adjustment and mode-dependent properties.
  • Construction of a unified dynamic output feedback model integrating unmeasurable states, cyberattacks, event-triggering, and time delays.
  • Derivation of sufficient conditions for finite-time synchronization using Lyapunov stability theory and relevant analysis techniques.

Main Results:

  • The proposed AETM effectively reduces communication frequency while maintaining control performance.
  • The unified dynamic output feedback model demonstrates robustness against cyberattacks and time delays.
  • Sufficient conditions guaranteeing finite-time synchronization of the MJCNDs were successfully derived.

Conclusions:

  • The developed event-triggered control strategy is effective for securing MJCNDs against cyberattacks.
  • The proposed approach offers improved flexibility and communication efficiency compared to existing methods.
  • Simulation results validate the effectiveness and superiority of the proposed control scheme.