Quasi-Consensus of Time-Varying Multi-Agent Systems with External Inputs under Deception Attacks

Area of Science:

• Control Theory
• Networked Systems
• Cybersecurity

Background:

• Multi-agent systems are crucial for distributed tasks.
• Time-varying dynamics and external disturbances complicate system analysis.
• Deception attacks pose significant threats to system integrity.

Purpose of the Study:

• Investigate quasi-consensus in nonlinear time-varying multi-agent systems.
• Analyze the impact of external inputs and impulsive deception attacks.
• Develop conditions for achieving robust quasi-consensus.

Main Methods:

• Modeling impulsive deception attacks using Bernoulli variables.
• Developing novel conditions for quasi-consensus under disturbances.
• Deriving upper bounds for error states influenced by attacks.

Main Results:

• Sufficient conditions for achieving quasi-consensus are established.
• Upper bounds for error states related to deception attacks are derived.
• The validity of the theoretical results is confirmed through numerical simulations.

Conclusions:

• The proposed methods effectively achieve quasi-consensus in complex multi-agent systems.
• The study provides a framework for analyzing systems under deception attacks.
• Robustness against external inputs and impulsive attacks is demonstrated.