Resilient Consensus of Multiagent Systems Under Collusive Attacks on Communication Links.

Area of Science:

• Control Theory
• Cyber-Physical Systems
• Networked Systems

Background:

• Multiagent systems are vulnerable to cyber attacks on communication links.
• Colluding attacks can be undetectable, posing significant risks to system consensus.
• Ensuring resilient consensus under adversarial conditions is crucial for system reliability.

Purpose of the Study:

• To develop strategies for resilient consensus in multiagent systems under cyber attacks.
• To detect and isolate attacked communication links, even with collusive attacks.
• To provide conditions for achieving resilient consensus despite adversarial interference.

Main Methods:

• Design of a distributed fixed-time observer for detecting noncollusive attacks.
• Development of a novel attack isolation algorithm using sequential information removal for collusive attacks.
• Derivation of necessary and sufficient conditions for attack isolation and resilient consensus.

Main Results:

• Effective detection and isolation of attacked links for both noncollusive and collusive scenarios.
• A control algorithm designed based on isolated attacked links.
• Validated conditions for achieving resilient consensus in multiagent systems.

Conclusions:

• The proposed methods effectively address the resilient consensus problem under sophisticated cyber attacks.
• The study provides a robust framework for securing communication links in multiagent systems.
• Numerical examples confirm the efficacy of the developed strategies for resilient consensus.