Output Formation Containment for Multiagent Systems Under Multipoint Multipattern FDI Attacks: A Resilient Impulsive...

Area of Science:

• Control Systems Engineering
• Cybersecurity
• Networked Systems

Background:

• Networked multiagent systems (MASs) face increasing cyber attack risks due to more devices and interactions.
• Multi-point and multi-pattern false data injection (FDI) attacks pose significant threats to MASs.

Purpose of the Study:

• To address the output formation-containment problem in MASs under complex FDI attacks.
• To develop a robust protocol for mitigating multipoint, multipattern FDI attacks.

Main Methods:

• Proposed a novel hybrid protocol integrating a state observer, attack estimator, impulsive interactor, and compensation controller.
• Designed an impulsive interactor for controlled signal transmission and random channel attacks.
• Developed a compensation controller utilizing recovered states and attack signals.

Main Results:

• Achieved output formation containment with cooperative uniform ultimate boundedness (UUB).
• Successfully recovered unmeasured states and estimated unknown FDI attack signals.
• Validated the proposed approach's effectiveness and advantages through simulations.

Conclusions:

• The novel hybrid protocol effectively mitigates multipoint, multipattern FDI attacks in MASs.
• Ensures system stability and achieves output formation containment under compromised conditions.