Work

Leader‐Following Resilient Secure Consensus Output‐Feedback Control for Nonlinear Multi‐Agent Systems Under Replay Attacks

Year: 2026

Type: article

Abstract: ABSTRACT Replay attacks represent a stealthy and destabilizing threat to multi‐agent systems and can undermine consensus performance by injecting deceptive historical data. To counteract this threat, this paper proposes a leader‐following resilient secure consensus control strategy for strict‐feedback nonlinear multi‐agent systems subject to unmeasurable states and replay attacks. First, a fuzzy state observer is constructed for each follower to approximate unknown nonlinearities and reconstruct unmeasurable system states. Second, a distributed adaptive secure controller is designed via the backstepping technique to achieve consensus objectives despite the presence of replay attacks. Crucially, a quantifiable resilience condition related to attack‐induced errors is derived through rigorous Lyapunov stability analysis. Under this condition, all closed‐loop signals are proven to remain bounded, with tracking errors converging to a small neighborhood of the origin. Finally, numerical simulations validate the effectiveness of the proposed approach.

Source: Asian Journal of Control

DOI: 10.1002/asjc.70267

Authors: Yue Fang, Mingwei Jin, Kangkang Sun, Jianbin Qiu, Tong Wang

Institution: Harbin Institute of Technology

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation

Awards: G2789006291, G352083367, G4820041582, G7595203548