Resilient event-triggered quasi-synchronization control for CLSs with parameter mismatches under DoS attacks

Area of Science:

• Complex Systems and Control Theory
• Network Security and Resilient Systems

Background:

• Chaotic Lur'e systems (CLSs) are susceptible to parameter mismatches and denial-of-service (DoS) attacks, disrupting their synchronization.
• Existing event-triggered schemes often require prior knowledge of attack timing and struggle with network congestion.

Purpose of the Study:

• To propose a resilient memory event-triggered scheme (RMETS) for achieving quasi-synchronization in CLSs under DoS attacks and parameter mismatches.
• To enhance system resilience against network-induced disruptions and communication load.

Main Methods:

• Development of RMETS incorporating an acknowledgment (ACK) mechanism for packet loss detection.
• Introduction of an ACK-related performance loss term for adaptive release probability adjustment.
• Integration of historical release data for refined control updates and co-design with a memory-based controller.

Main Results:

• Successful quasi-synchronization of CLSs within a defined error bound despite parameter mismatches and DoS attacks.
• Demonstrated mitigation of network congestion and attack-induced disruptions through the RMETS.
• Validation of the proposed scheme's effectiveness using Chua's circuit simulations.

Conclusions:

• The proposed RMETS effectively ensures quasi-synchronization of CLSs under challenging network conditions.
• The adaptive and memory-based approach balances communication efficiency with robust control performance.